diff --git a/DESCRIPTION b/DESCRIPTION
index 01f54531..cbac8c74 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: FSA
-Version: 0.10.0
-Date: 2025-5-6
+Version: 0.10.1
+Date: 2026-1-7
 Title: Simple Fisheries Stock Assessment Methods
 Description: A variety of simple fish stock assessment methods.
 Authors@R: c(
@@ -45,7 +45,7 @@ Suggests:
     tidyr,
     covr
 Encoding: UTF-8
-RoxygenNote: 7.3.2
+RoxygenNote: 7.3.3
 Config/testthat/edition: 3
 Config/Needs/website:
     r-lib/pkgdown,
diff --git a/NEWS.md b/NEWS.md
index 446706ae..a4187fb6 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,15 @@
+# FSA 0.10.1
+* Updated the PSD and Relative Weight computation articles to reflect the changes to `psdVal()`, `psdAdd()`, `wsVal()`, and `wrAdd()`.
+* `chapmanRobson()`: Added catch for when n+T<1 and n+T<2. This addresses [#131](https://github.com/fishR-Core-Team/FSA/issues/131)).
+* `metaM()`: Added `method="HamelCope"` to address [#133](https://github.com/fishR-Core-Team/FSA/issues/133). A few minor edits to documentation.
+* `psdAdd()`: Addressed bugs as described in [#136](https://github.com/fishR-Core-Team/FSA/issues/136)) and [#137](https://github.com/fishR-Core-Team/FSA/issues/137). Added `thesaurus` functionality. Reworked examples in documentation. Reworked testing framework. Thanks to Dave Glover.
+* `PSDlit`: Added info for Flier and Longear Sunfish to address [#122](https://github.com/fishR-Core-Team/FSA/issues/122)) and Northern Pikeminnow. Also updated information for Alabama Bass and Spotted Bass. Duplicated lines that combine `species` and `group` to partially address [#137](https://github.com/fishR-Core-Team/FSA/issues/137).
+* `psdVal()`: Added `dat=` to allow more flexibility when called from `psdAdd()`.
+* `PSDWRTest`: Added for testing PSD and relative weight functions.
+* `wrAdd()`: Addressed bugs similar to those for `psdAdd()`. Added `thesaurus` functionality. Reworked examples in documentation. Reworked testing framework (especially expanded validation of results with hand-calculations).
+* `wSlit`: Added info for Flier and Longear Sunfish to address [#122](https://github.com/fishR-Core-Team/FSA/issues/122)). Also updated information for Alabama Bass (further removed Spotted Bass (Alabama subspecies)), Spotted Bass, and Northern Pikeminnow (further removed Northern Squawfish (synonym of Northern Pikeminnow that is no longer used)). Duplicated lines that combine `species` and `group` to partially address [#137](https://github.com/fishR-Core-Team/FSA/issues/137).
+* `wsVal()`: Added `dat=` to allow more flexibility when called from `wrAdd()`.
+
 # FSA 0.10.0
 * Updated `test-coverage.yaml` and moved a `# nocov start` and `# nocov end` in `bootstrap.r` to address the errors with `test-coverage.yaml`. Addresses [#118](https://github.com/fishR-Core-Team/FSA/issues/118).
 * Removed `DescTools`, `plyr`, `psych` from Suggests (and all their uses in tests and linked code in documentation). Removed `ggplot2`, `marked`, `rcapture`, and `tibble` from Suggests (and use in examples was put in a `\dontrun()`).
@@ -122,11 +134,11 @@
 * `fitPlot()`: **REMOVED** (to `FSAmisc`).
 * `fsaNews()` and `FSANews()`: **Removed**.
 * `psdAdd()`: Modified. Changed the way `PSDlit` was loaded into the function environment so that `FSA::psdAdd()` will work. Addresses [#85](https://github.com/fishR-Core-Team/FSA/issues/85).
-* `PSDLit`: Modified. Added info for Utah Chub (from [here](https://webpages.uidaho.edu/quistlab/publications/NAJFM_2021_Black_et_al_UTC_Ws_length_categories.pdf); address [#84](https://github.com/fishR-Core-Team/FSA/issues/84)).
+* `PSDLit`: Modified. Added info for Utah Chub (from [here](https://www.usgs.gov/publications/proposed-standard-weight-ws-equation-and-length-categories-utah-chub); address [#84](https://github.com/fishR-Core-Team/FSA/issues/84)).
 * `psdVal()`: Modified. Changed the way `PSDlit` was loaded into the function environment so that `FSA::psdVal()` will work. Addresses [#85](https://github.com/fishR-Core-Team/FSA/issues/85).
 * `residPlot()`: **REMOVED** (to `FSAmisc`).
 * `wrAdd()`: Modified. Changed the way `WSlit` was loaded into the function environment so that `FSA::wrAdd()` will work. Addresses [#85](https://github.com/fishR-Core-Team/FSA/issues/85).
-* `WSLit`: Modified. Added info for Utah Chub (from [here](https://webpages.uidaho.edu/quistlab/publications/NAJFM_2021_Black_et_al_UTC_Ws_length_categories.pdf); address [#84](https://github.com/fishR-Core-Team/FSA/issues/84)).
+* `WSLit`: Modified. Added info for Utah Chub (from [here](https://www.usgs.gov/publications/proposed-standard-weight-ws-equation-and-length-categories-utah-chub); address [#84](https://github.com/fishR-Core-Team/FSA/issues/84)).
 * `wsVal()`: Modified. Changed the way `WSlit` was loaded into the function environment so that `FSA::wsVal()` will work. Addresses [#85](https://github.com/fishR-Core-Team/FSA/issues/85).
 
 # FSA 0.9.1
diff --git a/R/PSDWRtest.R b/R/PSDWRtest.R
new file mode 100644
index 00000000..fc2b00c0
--- /dev/null
+++ b/R/PSDWRtest.R
@@ -0,0 +1,44 @@
+#' @title Hypothetical weight-length data for testing PSD and relative weight functions
+#'
+#' @description Hypothetical weight-length and associated data. These data are useful for testing PSD and relative weight functions (e.g., \code{\link{psdAdd}} and \code{\link{wrAdd}}).
+#'
+#' @name PSDWRtest
+#'
+#' @docType data
+#'
+#' @format A data frame of many observations on the following 5 variables:
+#'  \describe{
+#'    \item{species}{Species name}
+#'    \item{location}{Broad location of capture}
+#'    \item{len}{Length in mm}
+#'    \item{wt}{Weight in g}
+#'    \item{sex}{Sex as \code{F} for female, \code{M} for male, or \code{U} or \code{NA} for unknown or unrecorded}
+#'  }
+#'
+#' @section Topic(s):
+#'  \itemize{
+#'    \item Size structure
+#'    \item Proportional size structure
+#'    \item Relative stock density
+#'    \item Proportional stock density
+#'    \item Relative weight
+#'    \item Standard weight
+#'    \item Condition
+#'  }
+#'
+#' @concept Size Structure
+#' @concept PSD
+#' @concept Condition
+#' @concept Relative Weight
+#' @concept Standard Weight
+#'
+#' @seealso \code{\link{psdAdd}}, \code{\link{psdCalc}}, and \code{\link{wrAdd}}
+#'
+#' @keywords datasets
+#'
+#' @examples
+#' str(PSDWRtest)
+#' peek(PSDWRtest,n=20)
+#' unique(PSDWRtest$species)
+#'
+NULL
diff --git a/R/PSDlit.R b/R/PSDlit.R
index 6871db94..f6393258 100644
--- a/R/PSDlit.R
+++ b/R/PSDlit.R
@@ -1,6 +1,9 @@
 #' @title Gabelhouse five-cell length categories for various species.
 #'
 #' @description Cutoffs for the Gabelhouse five-cell length categories for a variety of species.
+#' 
+#' @details Entries for some species (e.g., \dQuote{Muskellunge} and \dQuote{Walleye}) have been duplicated for sub-groups to facilitate use with relative weight calculations. For example, entries for \dQuote{Muskellunge (overall)}, \dQuote{Muskellunge (female)}, and \dQuote{Muskellunge (male)} are duplicates of the entry for \dQuote{Muskellunge}; i.e., these entries in \code{PSDlit} are not necessarily just for those sub-groups but this allows for seamless similar computations of relative weights for these sub-groups.
+#' 
 #'
 #' @name PSDlit
 #'
diff --git a/R/WSlit.R b/R/WSlit.R
index d6e34ec6..e1d8e4ca 100644
--- a/R/WSlit.R
+++ b/R/WSlit.R
@@ -3,6 +3,8 @@
 #' @description Parameters for all known standard weight equations.
 #'
 #' @details The minimum TL for the English units were derived by rounding the converted minimum TL for the metric units to what seemed like common units (inches, half inches, or quarter inches).
+#' 
+#' Entries for \dQuote{Chinook Salmon (landlocked)} and \dQuote{Striped Bass (landlocked)} are the same as for \dQuote{Chinook Salmon} and \dQuote{Striped Bass} but were added to facilitate use with PSD calculations as Gabelhouse lengths are only published for the landlocked sub-group; i.e., these entries in \code{WSlit} are not necessarily just for landlocked populations.
 #'
 #' @name WSlit
 #'
diff --git a/R/chapmanRobson.R b/R/chapmanRobson.R
index bf8c369c..5cce7685 100644
--- a/R/chapmanRobson.R
+++ b/R/chapmanRobson.R
@@ -164,7 +164,17 @@ chapmanRobson.default <- function(x,catch,ages2use=age,
   n <- sum(catch.e,na.rm=TRUE)
   T <- sum(age.r*catch.e,na.rm=TRUE)
   ## Estimate S and SE (eqns 6.4 & 6.5 from Miranda & Bettoli (2007))
+  if (n+T<1) STOP("The sum of 'catch' (n) and the product of 'age' and 'catch'",
+                  " (T) for 'ages2use' is less than 1, so survival (S) cannot",
+                  " be computed. This usually occurs when 'catch' is actually",
+                  " 'CPE' and the 'CPE' values are very small. If this is the",
+                  " case, consider rescaling your 'CPE' values.")
   S.est <- T/(n+T-1)
+  if (n+T<2) STOP("The sum of 'catch' (n) and the product of 'age' and 'catch'",
+                  " (T) for 'ages2use' is less than 2, so the SE of survival (S)",
+                  " cannot be computed. This usually occurs when 'catch' is",
+                  " actually 'CPE' and the 'CPE' values are very small. If this",
+                  " is the case, consider rescaling your 'CPE' values.")
   S.SE <- sqrt(S.est*(S.est-((T-1)/(n+T-2))))
   ## Estimate Z and SE
   switch(zmethod,
diff --git a/R/metaM.R b/R/metaM.R
index 865f09dc..b8a68564 100644
--- a/R/metaM.R
+++ b/R/metaM.R
@@ -13,6 +13,7 @@
 #'    \item \code{method="HoenigLM"}: The \dQuote{modified Hoenig equation derived with a linear model} as described in Then \emph{et al.} (2015) on the second line of Table 3. Requires only \code{tmax}.
 #'    \item \code{method="HewittHoenig"}: The \dQuote{Hewitt and Hoenig (2005) equation} from their equation 8. Requires only \code{tmax}.
 #'    \item \code{method="tmax1"}: The \dQuote{one-parameter tmax equation} from the first line of Table 3 in Then \emph{et al.} (2015). Requires only \code{tmax}.
+#'    \item \code{method="HamelCope"}: The equation 7 from Hamel and Cope (2022). Requires only \code{tmax}.
 #'    \item \code{method="K1"}:  The \dQuote{one-parameter K equation} from the fourth line of Table 3 in Then \emph{et al.} (2015). Requires only \code{K}.
 #'    \item \code{method="K2"}: The \dQuote{two-parameter K equation} from the fifth line of Table 3 in Then \emph{et al.} (2015). Requires only \code{K}.
 #'    \item \code{method="JensenK1"}: The \dQuote{Jensen (1996) one-parameter K equation}. Requires only \code{K}.
@@ -54,15 +55,15 @@
 #'    \item \code{givens}: A string that contains the input values required by the method to estimate M.
 #'  }
 #' 
-#' @section Testing: Kenchington (2014) provided life history parameters for several stocks and used many models to estimate M. I checked the calculations for the \code{PaulyL}, \code{PaulyW}, \code{HoenigO}, \code{HoenigOF}, \code{HoenigO2}, \code{HoenigO2F}, \code{"JensenK1"}, \code{"Gislason"}, \code{"AlversonCarney"}, \code{"Charnov"}, \code{"ZhangMegrey"}, \code{"RikhterEfanov1"}, and \code{"RikhterEfanov2"} methods for three stocks. All results perfectly matched Kenchington's results for Chesapeake Bay Anchovy and Rio Formosa Seahorse. For the Norwegian Fjord Lanternfish, all results perfectly matched Kenchington's results except for \code{HoenigOF} and \code{HoenigO2F}.
+#' @section Testing: Kenchington (2014) provided life history parameters for several stocks and used many models to estimate M. I checked the calculations for the \code{"PaulyL"}, \code{"PaulyW"}, \code{"HoenigO"}, \code{"HoenigOF"}, \code{"HoenigO2"}, \code{"HoenigO2F"}, \code{"JensenK1"}, \code{"Gislason"}, \code{"AlversonCarney"}, \code{"Charnov"}, \code{"ZhangMegrey"}, \code{"RikhterEfanov1"}, and \code{"RikhterEfanov2"} methods for three stocks. All results perfectly matched Kenchington's results for Chesapeake Bay Anchovy and Rio Formosa Seahorse. For the Norwegian Fjord Lanternfish, all results perfectly matched Kenchington's results except for \code{"HoenigOF"} and \code{"HoenigO2F"}.
 #' 
-#' Results for the Rio Formosa Seahorse data were also tested against results from \code{\link[fishmethods]{M.empirical}} from \pkg{fishmethods} for the \code{PaulyL}, \code{PaulyW}, \code{HoenigO}, \code{HoenigOF}, \code{"Gislason"}, and \code{"AlversonCarney"} methods (the only methods in common between the two packages). All results matched perfectly.
+#' Results for the Rio Formosa Seahorse data were also tested against results from \code{\link[fishmethods]{M.empirical}} from \pkg{fishmethods} for the \code{"PaulyL"}, \code{"PaulyW"}, \code{"HoenigO"}, \code{"HoenigOF"}, \code{"Gislason"}, and \code{"AlversonCarney"} methods (the only methods in common between the two packages). All results matched perfectly.
 #' 
 #' @author Derek H. Ogle, \email{DerekOgle51@gmail.com}
 #' 
 #' @section IFAR Chapter: 11-Mortality.
 #' 
-#' @seealso See \code{\link[fishmethods]{M.empirical}} in \pkg{fishmethods} for similar functionality.
+#' @seealso See \code{\link[fishmethods]{M.empirical}} in \pkg{fishmethods} for similar functionality and the "Natural Mortality Tool" Shiny app on-line.
 #' 
 #' @references Ogle, D.H. 2016. \href{https://fishr-core-team.github.io/fishR/pages/books.html#introductory-fisheries-analyses-with-r}{Introductory Fisheries Analyses with R}. Chapman & Hall/CRC, Boca Raton, FL.
 #' 
@@ -74,6 +75,8 @@
 #' 
 #' Gislason, H., N. Daan, J.C. Rice, and J.G. Pope. 2010. Size, growth, temperature and the natural mortality of marine fish. Fish and Fisheries 11:149-158.
 #' 
+#' Hamel, O. and J. M. Cope. 2022. Development and considerations for application of a longevity-based prior for the natural mortality rate. Fisheries Research 256:106477 [Was (is? from https://www.researchgate.net/publication/363595336_Development_and_considerations_for_application_of_a_longevity-based_prior_for_the_natural_mortality_rate).]
+#' 
 #' Hewitt, D.A. and J.M. Hoenig. 2005. Comparison of two approaches for estimating natural mortality based on longevity. Fishery Bulletin. 103:433-437. [Was (is?) from http://fishbull.noaa.gov/1032/hewitt.pdf.]
 #' 
 #' Hoenig, J.M. 1983. Empirical use of longevity data to estimate mortality rates. Fishery Bulletin. 82:898-903. [Was (is?) from http://www.afsc.noaa.gov/REFM/age/Docs/Hoenig_EmpiricalUseOfLongevityData.pdf.]
@@ -108,7 +111,7 @@
 #' Mmethods("tmax")
 #' 
 #' ## Simple Examples
-#' metaM("tmax",tmax=20)
+#' metaM("HamelCope",tmax=20)
 #' metaM("HoenigNLS",tmax=20)
 #' metaM("HoenigNLS",tmax=20,verbose=FALSE)
 #'  
@@ -133,7 +136,7 @@
 #'
 #' ## Example of multiple methods using Mmethods
 #' # select some methods
-#' metaM(Mmethods()[-c(15,20,22:24,26:29)],K=K,Linf=Linf,Temp=Temp,tmax=tmax,t50=t50)
+#' metaM(Mmethods()[-c(16,21,23:25,27:30)],K=K,Linf=Linf,Temp=Temp,tmax=tmax,t50=t50)
 #' # select just the Hoenig methods
 #' metaM(Mmethods("Hoenig"),K=K,Linf=Linf,Temp=Temp,tmax=tmax,t50=t50)
 #'  
@@ -150,7 +153,7 @@ Mmethods <- function(method=c("all","tmax","K","Hoenig","Pauly","FAMS")) {
   method <- match.arg(method)
   all_meth <- c("HoenigNLS","HoenigO","HoenigOF","HoenigOM","HoenigOC",
                 "HoenigO2","HoenigO2F","HoenigO2M","HoenigO2C",
-                "HoenigLM","HewittHoenig","tmax1",
+                "HoenigLM","HewittHoenig","tmax1","HamelCope",
                 "PaulyLNoT","PaulyL","PaulyW",
                 "K1","K2","JensenK1","JensenK2","Gislason",
                 "AlversonCarney","Charnov",
@@ -161,7 +164,7 @@ Mmethods <- function(method=c("all","tmax","K","Hoenig","Pauly","FAMS")) {
   P_meth <- 
   switch(method,
          all    = { meths <- all_meth },
-         tmax   = { meths <- c("tmax1",H_meth)},
+         tmax   = { meths <- c("HamelCope","tmax1",H_meth)},
          K      = { meths <- c("K1","K2","JensenK1","JensenK2")},
          Hoenig = { meths <- H_meth},
          Pauly  = { meths <- all_meth[grep("Pauly",all_meth)] },
@@ -191,6 +194,11 @@ metaM <- function(method=Mmethods(),
   
 metaM1 <- function(method,tmax,K,Linf,t0,b,L,Temp,t50,Winf,PS,...) {
   switch(method,
+         HamelCope = { ## from Hamel & Cope (2022), Equation 7
+           name <- "Hamel and Cope (2022) tmax equation"
+           iCheck_tmax(tmax)
+           givens <- c(tmax=tmax)
+           M <- 5.40/tmax },
          tmax1 = { ## from Then et al. (2015), Table 3, 1st line
            name <- "Then et al. (2015) tmax equation"
            iCheck_tmax(tmax)
diff --git a/R/psdAdd.R b/R/psdAdd.R
index 569d69e9..4010c326 100644
--- a/R/psdAdd.R
+++ b/R/psdAdd.R
@@ -6,6 +6,7 @@
 #' @param species A character or factor vector that contains the species names. Ignored if \code{len} is a formula.
 #' @param group A named list that provides specific choices for \code{group} for species for which more than one set of Gabelhouse lengths exists in \code{\link{PSDlit}}.
 #' @param data A data.frame that minimally contains the length measurements and species names if \code{len} is a formula.
+#' @param thesaurus A named list for providing alternative species names (the values in the list) that correspond to specific names in \code{PSDlit} (the names in the list). See details and examples.
 #' @param units A string that indicates the type of units used for the lengths. Choices are \code{mm} for millimeters (DEFAULT), \code{cm} for centimeters, and \code{in} for inches.
 #' @param use.names A logical that indicates whether the vector returned is numeric (\code{=FALSE}) or string (\code{=TRUE}; default) representations of the Gabelhouse lengths. See details.
 #' @param as.fact A logical that indicates that the new variable should be returned as a factor (\code{=TRUE}) or not (\code{=FALSE}). Defaults to same as \code{use.names} unless \code{addLens} is not \code{NULL}, in which case it will default to \code{FALSE}. See details.
@@ -15,7 +16,9 @@
 #'
 #' @details This computes a vector that contains the Gabelhouse lengths specific to each species for all individuals in an entire data frame. The vector can be appended to an existing data.frame to create a variable that contains the Gabelhouse lengths for each individual. The Gabelhouse length value will be \code{NA} for each individual for which Gabelhouse length definitions do not exist in \code{\link{PSDlit}}. Species names in the data.frame must be the same as those used in \code{\link{PSDlit}} (i.e., same spelling and capitalization; use \code{psdVal()} to see the list of species).
 #' 
-#' Some species have Gabelhouse lengths for sub-groups (e.g., \dQuote{lentic} vs \dQuote{lotic}). For these species, choose which sub-group to use with \code{group}.
+#' The \code{thesaurus} argument may be used to relate alternate species names to the species names used in \code{PSDlit}. For example, you (or your data) may use \dQuote{Bluegill Sunfish}, but \dQuote{Bluegill} is used in \code{PSDlit}. The alternate species name can be used here if it is defined in a named vector (or list) given to \code{thesarus=}. The alternate species name is the value and the species name in \code{PSDlit} is the name in this vector/list - e.g., \code{c("Bluegill"="Bluegill Sunfish")}. See the examples for a demonstration.
+#' 
+#' Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.#' 
 #' 
 #' Individuals shorter than \dQuote{stock} length will be listed as \code{substock} if \code{use.names=TRUE} or \code{0} if \code{use.names=FALSE}.
 #' 
@@ -42,63 +45,112 @@
 #' @keywords manip
 #' 
 #' @examples
-#' #===== Create random data for three species
-#' set.seed(345234534)
-#' dbg <- data.frame(species=factor(rep(c("Bluegill"),30)),
-#'                   tl=round(rnorm(30,130,50),0))
-#' dlb <- data.frame(species=factor(rep(c("Largemouth Bass"),30)),
-#'                   tl=round(rnorm(30,350,60),0))
-#' dbt <- data.frame(species=factor(rep(c("Bluefin Tuna"),30)),
-#'                   tl=round(rnorm(30,1900,300),0))
-#' df <- rbind(dbg,dlb,dbt)
-#'
-#' #===== Simple examples
+#' #===== Simple examples -- 2 species, no groups, names as in PSDlit
+#' #----- Isolate simple data from PSDWRtest
+#' tmp <- subset(PSDWRtest,
+#'               species %in% c("Yellow Perch","Largemouth Bass"),
+#'               select=c("species","len"))
+#' peek(tmp,n=6)
+#' 
 #' #----- Add variable using category names -- non-formula notation
-#' df$PSD <- psdAdd(df$tl,df$species)
-#' peek(df,n=6)
+#' tmp$PSD <- psdAdd(tmp$len,tmp$species)
+#' peek(tmp,n=6)
 #' 
 #' #----- Add variable using category names -- formula notation
-#' df$PSD1 <- psdAdd(tl~species,data=df)
-#' peek(df,n=6)
+#' tmp$PSD1 <- psdAdd(len~species,data=tmp)
+#' peek(tmp,n=6)
 #' 
 #' #----- Add variable using length values as names
-#' #      Also turned off messaging of fish not in PSDlit
-#' df$PSD2 <- psdAdd(tl~species,data=df,use.names=FALSE,verbose=FALSE)
-#' peek(df,n=6)
+#' tmp$PSD2 <- psdAdd(len~species,data=tmp,use.names=FALSE)
+#' peek(tmp,n=6)
 #' 
 #' #----- Same as above but using dplyr
 #' if (require(dplyr)) {
-#'   df <- df %>%
-#'     mutate(PSD1A=psdAdd(tl,species,verbose=FALSE),
-#'            PSD2A=psdAdd(tl,species,use.names=FALSE,verbose=FALSE))
-#'   peek(df,n=6)
+#'   tmp <- tmp %>%
+#'     mutate(PSD1A=psdAdd(len,species),
+#'            PSD2A=psdAdd(len,species,use.names=FALSE))
+#'   peek(tmp,n=6)
 #' }
 #' 
-#' #===== Adding lengths besides the Gabelhouse lengths
-#' #----- Add a "minimum length" for Bluegill
-#' df$PSD3 <- psdAdd(tl~species,data=df,verbose=FALSE,
-#'                   addLens=list("Bluegill"=c("minLen"=175)))
-#' df$PSD3A <- psdAdd(tl~species,data=df,verbose=FALSE,
-#'                    addLens=list("Bluegill"=175))
-#' df$PSD3B <- psdAdd(tl~species,data=df,verbose=FALSE,
-#'                    addLens=list("Bluegill"=c("minLen"=175)),use.names=FALSE)
-#' head(df,n=6)
-#' 
-#' #----- Add add'l lengths and names for Bluegill and Largemouth Bass
-#' df$psd4 <- psdAdd(tl~species,data=df,verbose=FALSE,
-#'                   addLens=list("Bluegill"=175,
-#'                                "Largemouth Bass"=c(254,356)))
-#' peek(df,n=20)
-#' 
-#' #===== Example for a species with sub-groups
-#' dbt <- data.frame(species=factor(rep(c("Brown Trout"),30)),
-#'                   tl=round(rnorm(30,230,50),0))
-#' dlt <- data.frame(species=factor(rep(c("Lake Trout"),30)),
-#'                   tl=round(rnorm(30,550,60),0))
-#' df2 <- rbind(dbt,dlt)
-#' 
-#' df2$psd <- psdAdd(tl~species,data=df2,group=list("Brown Trout"="lentic"))
-#' peek(df2,n=6)
+#' #===== Add lengths besides Gabelhouse lengths (start over with same simple data)
+#' tmp <- subset(PSDWRtest,
+#'               species %in% c("Yellow Perch","Largemouth Bass"),
+#'               select=c("species","len"))
+#' 
+#' #----- Add a "minimum length" for one species
+#' tmp$PSD3 <- psdAdd(len~species,data=tmp,
+#'                    addLens=list("Yellow Perch"=c("minLen"=225)))
+#' tmp$PSD3A <- psdAdd(len~species,data=tmp,
+#'                     addLens=list("Yellow Perch"=225))
+#' tmp$PSD3B <- psdAdd(len~species,data=tmp,
+#'                     addLens=list("Yellow Perch"=c("minLen"=225)),use.names=FALSE)
+#' head(tmp,n=6)
+#' 
+#' #----- Add add'l lengths and names for multiple species
+#' tmp$psd4 <- psdAdd(len~species,data=tmp,
+#'                    addLens=list("Yellow Perch"=175,
+#'                                 "Largemouth Bass"=c(254,306)))
+#' peek(tmp,n=20)
+#' 
+#' #===== Handle additional species in PSDlit but named differently
+#' #----- Isolate different species data from PSDWRtest
+#' tmp <- subset(PSDWRtest,
+#'               species %in% c("Bluegill Sunfish","Lean Lake Trout"),
+#'               select=c("species","len"))
+#' 
+#' #----- No "Bluegill Sunfish" in PSDlit, use thesaurus to note this is "Bluegill"
+#' #        Note: "Lean Lake Trout" not processed as not in PSDlit
+#' tmp$psd5 <- psdAdd(len~species,data=tmp,
+#'                    thesaurus=c("Bluegill"="Bluegill Sunfish"))
+#' peek(tmp,n=6)
+#' 
+#' #----- Process multiple species in PSDlit with different names
+#' #        Note: Can still use addLens=, but with original name
+#' thes <- c("Bluegill"="Bluegill Sunfish","Lake Trout"="Lean Lake Trout")
+#' tmp$psd6 <- psdAdd(len~species,data=tmp,thesaurus=thes)
+#' tmp$psd7 <- psdAdd(len~species,data=tmp,thesaurus=thes,
+#'                    addLens=list("Bluegill Sunfish"=c("minLen"=175)))
+#' peek(tmp,n=20)
+#' 
+#' #===== Example for a species with sub-groups but only one sub-group in data
+#' #----- Isolate species data from PSDWRtest ... only Brook Trout has sub-group
+#' tmp <- subset(PSDWRtest,
+#'               species %in% c("Yellow Perch","Brook Trout"),
+#'               select=c("species","len"))
+#' 
+#' #----- This will err as Brook Trout has sub-groups in PSDlit (as message notes)
+#' # tmp$psd8 <- psdAdd(len~species,data=tmp)
+#' 
+#' #----- Can choose "overall" sub-group with group=
+#' tmp$psd8 <- psdAdd(len~species,data=tmp,
+#'                    group=list("Brook Trout"="overall"))
+#' peek(tmp,n=10)
+#' 
+#' #----- Or can create species name with sub-group name in parentheses
+#' #        Note: this is more useful in next examples
+#' tmp$species2 <- ifelse(tmp$species=="Brook Trout","Brook Trout (overall)",
+#'                        tmp$species)
+#' tmp$psd8A <- psdAdd(len~species2,data=tmp) # note use of species2
+#' peek(tmp,n=10)
+#' 
+#' #===== Example for species with more than one sub-group in data
+#' #----- Isolate species data from PSDWRtest ... Brown Trout has two sub-groups
+#' tmp <- subset(PSDWRtest,
+#'               species %in% c("Yellow Perch","Largemouth Bass","Brown Trout"),
+#'               select=c("species","len","location"))
+#' peek(tmp,n=10)
+#' 
+#' #----- Must create a species name variable with sub-groups in parentheses
+#' #        Note: there are likely many ways to do this specific to each use-case
+#' tmp$species2 <- tmp$species
+#' tmp$species2[tmp$species=="Brown Trout" & 
+#'              tmp$location=="Trout Lake"] <- "Brown Trout (lotic)"
+#' tmp$species2[tmp$species=="Brown Trout" & 
+#'              tmp$location=="Brushy Creek"] <- "Brown Trout (lentic)"
+#' peek(tmp,n=10)
+#' 
+#' tmp$psd9 <- psdAdd(len~species2,data=tmp)
+#' peek(tmp,n=10)
 #' 
 #' @rdname psdAdd
 #' @export
@@ -108,7 +160,8 @@ psdAdd <- function (len,...) {
 
 #' @rdname psdAdd
 #' @export
-psdAdd.default <- function(len,species,group=NULL,units=c("mm","cm","in"),
+psdAdd.default <- function(len,species,thesaurus=NULL,
+                           group=NULL,units=c("mm","cm","in"),
                            use.names=TRUE,
                            as.fact=ifelse(is.null(addLens),use.names,FALSE),
                            addLens=NULL,verbose=TRUE,...) {
@@ -118,10 +171,10 @@ psdAdd.default <- function(len,species,group=NULL,units=c("mm","cm","in"),
   if (!inherits(species,c("character","factor")))
     STOP("'species' must be character or factor.")
   ## Prepare the PSD literature values data frame
-  PSDlit <- FSA::PSDlit
+  PSDlit <- iPrepPSDlit(thesaurus)
   ##  Find species that have known Gabelhouse lengths
-  # get list of species in data
-  specs <- unique(species)
+  # get list of species in data ... change from factor to character if necessary
+  specs <- as.character(unique(species))
   GLHSspecs <- specs[specs %in% unique(PSDlit$species)]
   ## Create data.frames with species that are NA and w/o Gabelhouse lengths and
   ## one with Gabelhouse lengths. The loop below will then start with a 
@@ -130,7 +183,7 @@ psdAdd.default <- function(len,species,group=NULL,units=c("mm","cm","in"),
   # - rownumbers is needed to get back the original order
   # - PSD will eventually have the Gabelhouse length categories
   data <- data.frame(len,species,rownums=seq_along(len),PSD=rep(NA,length(len)))
-  # data.frame where species is NA and doesn't have Gabelhousee length
+  # data.frame where species is NA and doesn't have Gabelhouse length
   ndata <- data[is.na(data$species) | !data$species %in% GLHSspecs,]
   if (verbose & nrow(ndata)>0)
     MESSAGE("Species in the data with no Gabelhouse (PSD) lengths in `PSDlit`: ",
@@ -138,7 +191,7 @@ psdAdd.default <- function(len,species,group=NULL,units=c("mm","cm","in"),
   # data.frame where species have Gabelhouse lengths ... make sure no NAs
   data <- data[data$species %in% GLHSspecs,]
   data <- data[!is.na(data$species),]
-
+  
   ## Cycle through each species where PSD values are known, add PSD categories
   ## and append to data.frame that contained species w/o Gabelhouse lengths
   for (i in seq_along(GLHSspecs)) {
@@ -150,10 +203,11 @@ psdAdd.default <- function(len,species,group=NULL,units=c("mm","cm","in"),
     else tmpAddLens <- NULL
     # get the Gabelhouse length categories
     if (!is.null(group)) {
-      if (GLHSspecs[i] %in% names(group)) group <- group[[GLHSspecs[i]]]
-      else group <- NULL
-    }
-    glhse <- psdVal(GLHSspecs[i],group=group,units=units,addLens=tmpAddLens)
+      if (GLHSspecs[i] %in% names(group)) tmp_group <- group[[GLHSspecs[i]]]
+      else tmp_group <- NULL
+    } else tmp_group <- NULL
+    glhse <- psdVal(GLHSspecs[i],group=tmp_group,units=units,addLens=tmpAddLens,
+                    dat=PSDlit)
     # computes the Gabelhouse length categories and adds to the data frame
     if (all(is.na(tmpdf$len))) {
       if (verbose) message("All values in 'len' were missing for ",GLHSspecs[i])
@@ -176,7 +230,8 @@ psdAdd.default <- function(len,species,group=NULL,units=c("mm","cm","in"),
 
 #' @rdname psdAdd
 #' @export
-psdAdd.formula <- function(len,data=NULL,group=NULL,units=c("mm","cm","in"),
+psdAdd.formula <- function(len,data=NULL,thesaurus=NULL,
+                           group=NULL,units=c("mm","cm","in"),
                            use.names=TRUE,
                            as.fact=ifelse(is.null(addLens),use.names,FALSE),
                            addLens=NULL,verbose=TRUE,...) {
@@ -196,6 +251,46 @@ psdAdd.formula <- function(len,data=NULL,group=NULL,units=c("mm","cm","in"),
     STOP("'len' must have one and only one factor variable (species)",
          " on right-hand-side.")
   ## Send to default method
-  psdAdd.default(tmp$mf[[tmp$Rpos]],tmp$mf[[tmp$EFactPos]],group,units,
+  psdAdd.default(tmp$mf[[tmp$Rpos]],tmp$mf[[tmp$EFactPos]],thesaurus,group,units,
                  use.names,as.fact,addLens,verbose,...)
 }
+
+
+# ==============================================================================
+# Internal -- prepare PSDlit by loading it and replacing its default names with
+#             names in the thesaurus, if any
+# ==============================================================================
+iPrepPSDlit <- function(thesaurus) {
+  # Load PSDlit into dat in this function namespace
+  dat <- FSA::PSDlit
+  if (!is.null(thesaurus)) {
+    # Some sanity checks on thesaurus
+    if (!(is.vector(thesaurus) | is.list(thesaurus)))
+      STOP("'thesaurus' must be either a vector or list. ",
+           "Make sure it is not 'factor'ed.")
+    if (length(names(thesaurus))==0)
+      STOP("Values in 'thesaurus' must be named (with species names from 'PSDlit'.")
+    if (!is.character(thesaurus))
+      STOP("Values in 'thesaurus' must be strings of species names.")
+    # thesaurus appears to be a named vector/list of strings ... start processing
+    # Alphabetize names in thesaurus to match PSDlit
+    thesaurus <- thesaurus[order(names(thesaurus))]
+    # Remove name from thesaurus if not in dat/PSDlit
+    thes.nokeep <- which(!names(thesaurus) %in% unique(dat$species))
+    if (length(thes.nokeep)>0) {
+      MESSAGE("The following species names were in 'thesaurus' but do ",
+              "not have an entry in 'PSDlit' and will be ignored: ",
+              iStrCollapse(names(thesaurus)[thes.nokeep]),".")
+      thesaurus <- thesaurus[-thes.nokeep]      
+    }
+    # Find dat/PSDlit species in kept thesaurus and change names to thesaurus names
+    if (length(thesaurus)>0) {
+      thes.pos <- which(dat$species %in% names(thesaurus))
+      dat$species[thes.pos] <- unlist(thesaurus)
+      # Re-alphabetize dat/PSDlit
+      dat <- dat[order(dat$species),]
+    }
+  }
+  # Return dat/PSDlit
+  dat
+}
diff --git a/R/psdCalc.R b/R/psdCalc.R
index a960fe22..18ee5674 100644
--- a/R/psdCalc.R
+++ b/R/psdCalc.R
@@ -48,51 +48,53 @@
 #' @keywords hplot
 #'
 #' @examples
-#' #===== Random length data for Yellow Perch (for example) to the nearest mm
-#' set.seed(633437)
-#' yepdf <- data.frame(yepmm=round(c(rnorm(100,mean=125,sd=15),
-#'                                   rnorm(50,mean=200,sd=25),
-#'                                   rnorm(20,mean=270,sd=40)),0),
-#'                     species=rep("Yellow Perch",170))
-#'                     
 #' #===== Simple (typical) uses with just Gabelhouse lengths
+#' tmp <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len"))
+#' 
 #' #----- All results
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch")
+#' psdCalc(~len,data=tmp,species="Yellow Perch")
 #' 
 #' #----- Just the traditional indices
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",what="traditional")
+#' psdCalc(~len,data=tmp,species="Yellow Perch",what="traditional")
 #' 
 #' #----- Just the incremental indices
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",what="incremental")
+#' psdCalc(~len,data=tmp,species="Yellow Perch",what="incremental")
 #' 
 #' #===== Add a custom length of interest (to the Gabelhouse lengths)
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",addLens=150)
+#' psdCalc(~len,data=tmp,species="Yellow Perch",addLens=150)
 #' 
 #' #----- Additional lengths can be named
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",addLens=c("minLen"=150))
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",
+#' psdCalc(~len,data=tmp,species="Yellow Perch",addLens=c("minLen"=150))
+#' psdCalc(~len,data=tmp,species="Yellow Perch",
 #'         addLens=c("minLen"=150,"maxslot"=275))
 #' 
 #' #----- Can return just those results that include the additional lengths
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",
+#' psdCalc(~len,data=tmp,species="Yellow Perch",
 #'         addLens=c("minSlot"=150,"maxSlot"=275),justAdds=TRUE)
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",
+#' psdCalc(~len,data=tmp,species="Yellow Perch",
 #'         addLens=c("minSlot"=150,"maxSlot"=275),justAdds=TRUE,what="traditional")
 #' 
 #' #===== Can show intermediate values (num in category and in stock)
-#' psdCalc(~yepmm,data=yepdf,species="Yellow Perch",showInterm=TRUE)
+#' psdCalc(~len,data=tmp,species="Yellow Perch",showInterm=TRUE)
+#' 
+#' #===== Some species require use of group
+#' tmp <- subset(PSDWRtest,species=="Brown Trout" & location=="Trout Lake",
+#'               select=c("species","location","len"))
+#' peek(tmp,n=6)
 #' 
-#' #===== Some species require use of group (e.g., treat these as if Brown Trout)
-#' psdCalc(~yepmm,data=yepdf,species="Brown Trout",group="lotic")
-#' psdCalc(~yepmm,data=yepdf,species="Brown Trout",group="lentic")
+#' # will err because Brown Trout has sub-groups in PSDlit
+#' # psdCalc(~len,data=tmp,species="Brown Trout")
+#' psdCalc(~len,data=tmp,species="Brown Trout",group="lotic")
+#' psdCalc(~len,data=tmp,species="Brown Trout (lotic)")
 #' 
 #' #===== For species not in PSDlit ... don't include species and use addLens
-#' #      Note that these are same data as above, but treated as different species
-#' psdCalc(~yepmm,data=yepdf,addLens=c("stock"=130,"quality"=200,"preferred"=250,
-#'                                     "memorable"=300,"trophy"=380))
+#' #      Note these are same data as above, but treated as species not in PSDlit
+#' psdCalc(~len,data=tmp,addLens=c("stock"=130,"quality"=200,"preferred"=250,
+#'                                 "memorable"=300,"trophy"=380))
 #'                                     
 #' @export psdCalc
-psdCalc <- function(formula,data,species,group=NULL,units=c("mm","cm","in"),
+psdCalc <- function(formula,data,species,
+                    group=NULL,units=c("mm","cm","in"),
                     method=c("multinomial","binomial"),conf.level=0.95,
                     addLens=NULL,addNames=NULL,justAdds=FALSE,
                     what=c("all","traditional","incremental","none"),
@@ -105,8 +107,8 @@ psdCalc <- function(formula,data,species,group=NULL,units=c("mm","cm","in"),
   
   #----- Make sure species is not missing, or if it is that addLens have been given
   if (!missing(species)) {
-    brks <- psdVal(species,group,units=units,incl.zero=FALSE,
-                   addLens=addLens,addNames=addNames)    
+    brks <- psdVal(species,group=group,units=units,
+                   incl.zero=FALSE,addLens=addLens,addNames=addNames)    
   } else {
     # species is missing so must have an addLens
     if (is.null(addLens))
diff --git a/R/psdVal.R b/R/psdVal.R
index 9ca7ea74..304e7a24 100644
--- a/R/psdVal.R
+++ b/R/psdVal.R
@@ -9,9 +9,12 @@
 #' @param addLens A numeric vector that contains minimum length definitions for additional categories. See details.
 #' @param addNames A string vector that contains names for the additional length categories added with \code{addLens}. See details.
 #' @param showJustSource A logical that indicates whether just the literature source information should be returned (\code{TRUE}) or not. If \code{TRUE} this will NOT return any of the Gabelhouse length information.
+#' @param dat Data.frame of Gabelhouse length categories for all species. Defaults to `PSDlit` and is generally not used by the user (this simplifies use of this function in \code{psdAdd}).
 #'
 #' @details Finds the Gabelhouse lengths from \code{data(PSDlit)} for the species given in \code{species}. The species name must be spelled exactly (including capitalization) as it appears in \code{data(PSDlit)}. Type \code{psdVal()} to see the list of species and how they are spelled.
 #'
+#' Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.#' 
+#' 
 #' A zero is included in the first position of the returned vector if \code{incl.zero=TRUE}. This is useful when computing PSD values with a data.frame that contains fish smaller than the stock length.
 #'
 #' Additional lengths may be added to the returned vector with \code{addLens}. Names for these lengths can be included as names in \code{addLens} or separately in \code{addNames}. If \code{addNames} is NULL and \code{addLens} is not named then the default category names will be the lengths from \code{addLens}. The \code{addLens} argument is useful for calculating PSD values that are different from the Gabelhouse lengths.
@@ -47,10 +50,15 @@
 #' psdVal("Bluegill",showJustSource=TRUE)
 #' 
 #' #===== For species that have sub-groups
+#' #-----   using group= argument
 #' psdVal("Brown Trout",group="lentic")
 #' psdVal("Brown Trout",group="lotic")
-#' psdVal("Palmetto Bass",group="revised")
-#' psdVal("Palmetto Bass",group="original")
+#' #-----   group combined in species name, so no group= use
+#' psdVal("Brown Trout (lentic)")
+#' 
+#' #===== For species with revised values
+#' psdVal("Palmetto Bass")
+#' psdVal("Palmetto Bass (original)")
 #' 
 #' #===== Adding user-defined categories
 #' #-----   with lengths and names separately in addLens= and addNames=
@@ -60,28 +68,29 @@
 #' #-----   with a named vector in addLens=
 #' psdVal("Bluegill",units="in",addLens=c("MinLen"=7))
 #' psdVal("Bluegill",units="in",addLens=c("MinSlot"=7,"MaxSlot"=9))
-#'
+#' 
 #' @export psdVal
 psdVal <- function(species="List",group=NULL,units=c("mm","cm","in"),
                    addLens=NULL,addNames=NULL,
-                   incl.zero=TRUE,showJustSource=FALSE) {
+                   incl.zero=TRUE,showJustSource=FALSE,dat=NULL) {
   units <- match.arg(units)
-  #====== Load PSDlit into this function's environment, do some checking, and
-  #       return a data.frame with infor for just that species/group
-  PSDlit <- FSA::PSDlit
-  PSDlit <- iPSDGetSpecies(PSDlit,species,group)
+
+  #====== If dat is null then load PSDlit into dat ... then do some checking,
+  #       and return a data.frame with info for just that species/group
+  if (is.null(dat)) dat <- FSA::PSDlit
+  dat <- iPSDGetSpecies(dat,species,group)
   
-  #====== Prepare Result as longs as PSDlit was not returned as NULL
-  if (!is.null(PSDlit)) {
+  #====== Prepare Result as longs as dat was not returned as NULL
+  if (!is.null(dat)) {
     if (showJustSource) {
       ifelse(is.null(group),cols <- c(1,14),cols <- c(1,2,15))
-      PSDlit[,cols]
+      dat[,cols]
     } else {
       #----- Identify columns based on units
       ifelse(units=="in",cols <- 3:8,cols <- 9:14)
       if (is.null(group)) cols <- cols-1
       #----- get the length categories
-      PSDvec <- as.matrix(PSDlit[,cols])[1,]
+      PSDvec <- as.matrix(dat[,cols])[1,]
       names(PSDvec) <- gsub("\\..*","",names(PSDvec))
       #----- remove zero category (substock) if asked
       if (!incl.zero) PSDvec <- PSDvec[!names(PSDvec)=="substock"]
@@ -109,7 +118,6 @@ psdVal <- function(species="List",group=NULL,units=c("mm","cm","in"),
   }
 }
 
-
 # ==============================================================================
 # Internal -- check species name against the 'dat' data.frame (usually PSDLit)
 # ==============================================================================
diff --git a/R/wrAdd.R b/R/wrAdd.R
index 22265c49..7f5a530e 100644
--- a/R/wrAdd.R
+++ b/R/wrAdd.R
@@ -6,6 +6,10 @@
 #' 
 #' The species names in \code{species} must match the spelling and capitalization of \code{species} in \code{\link{WSlit}}. Use \code{wsVal()} to see a list of all species for which standard weight equations exist in \code{\link{WSlit}} and, more importantly, how the species names are spelled and capitalized.
 #' 
+#' The \code{thesaurus} argument may be used to relate alternate species names to the species names used in \code{WSlit}. For example, you (or your data) may use \dQuote{Bluegill Sunfish}, but \dQuote{Bluegill} is used in \code{WSlit}. The alternate species name can be used here if it is defined in a named vector (or list) given to \code{thesarus=}. The alternate species name is the value and the species name in \code{PSDlit} is the name in this vector/list - e.g., \code{c("Bluegill"="Bluegill Sunfish")}. See the examples for a demonstration.
+#' 
+#' Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} in \code{WsOpts} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.
+#' 
 #' Some (few) species have more than one equation listed in \code{\link{WSlit}} (for the specified units). In these instances the user must select one of the equations to use with \code{WsOpts}. \code{WsOpts} is a list of lists where the inside list contains one or more of \code{group}, \code{ref}, or \code{method} (see \code{\link{WSlit}}) required to specify a single equation for a particular species, which is the name of the inner list. See the examples for an illustration of how to use \code{WsOpts}.
 #' 
 #' See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html}{this article} for a demonstration.
@@ -14,6 +18,7 @@
 #' @param len A numeric vector that contains length measurements. Not used if \code{wt} is a formula.
 #' @param spec A character or factor vector that contains the species names. Not used if \code{wt} is a formula.
 #' @param data A data.frame that minimally contains variables of the the observed lengths, observed weights, and the species names given in the \code{formula=}.
+#' @param thesaurus A named list for providing alternative species names (the values in the list) that correspond to specific names in \code{PSDlit} (the names in the list). See details and examples.
 #' @param units A string that indicates whether the weight and length data in \code{formula} are in \code{"metric"} (DEFAULT; mm and g) or \code{"English"} (in and lbs) units.
 #' @param WsOpts A named list that provides specific choices for \code{group}, \code{ref}, or \code{method} for species for which more than one standard weight equation exists in \code{\link{WSlit}}.
 #' @param \dots Not used.
@@ -31,51 +36,78 @@
 #' @keywords manip
 #'
 #' @examples
-#' #===== Create random data for three species
-#' #----- just to control the randomization
-#' set.seed(345234534)
-#' dbt <- data.frame(species=factor(rep(c("Bluefin Tuna"),30)),
-#'                   tl=round(rnorm(30,1900,300),0))
-#' dbt$wt <- round(4.5e-05*dbt$tl^2.8+rnorm(30,0,6000),1)
-#' dbg <- data.frame(species=factor(rep(c("Bluegill"),30)),
-#'                   tl=round(rnorm(30,130,50),0))
-#' dbg$wt <- round(4.23e-06*dbg$tl^3.316+rnorm(30,0,10),1)
-#' dlb <- data.frame(species=factor(rep(c("Largemouth Bass"),30)),
-#'                   tl=round(rnorm(30,350,60),0))
-#' dlb$wt <- round(2.96e-06*dlb$tl^3.273+rnorm(30,0,60),1)
-#' df <- rbind(dbt,dbg,dlb)
-#' str(df)
-#'
-#' #===== Add Wr variable
-#' #----- using formula interface
-#' df$Wr1 <- wrAdd(wt~tl+species,data=df)
+#' #===== Simple example with 3 species, 2 in WSlit ... nothing unusual
+#' tmp <- subset(PSDWRtest,
+#'               species %in% c("Yellow Perch","Iowa Darter","Largemouth Bass"),
+#'               select=c("species","len","wt"))
+#' peek(tmp,n=10)
 #' 
+#' #----- Add Wr variable ... using formula interface
+#' tmp$wr1 <- wrAdd(wt~len+species,data=tmp)
 #' #----- same but with non-formula interface
-#' df$Wr2 <- wrAdd(df$wt,df$tl,df$species)
-#' 
+#' tmp$wr2 <- wrAdd(tmp$wt,tmp$len,tmp$species)
 #' #----- same but using dplyr
 #' if (require(dplyr)) {
-#'   df <- df %>%
-#'     mutate(Wr3=wrAdd(wt,tl,species))
+#'   tmp <- tmp %>%
+#'     mutate(wr3=wrAdd(wt,len,species))
 #' }
-#' 
 #' #----- examine results
-#' peek(df,n=10)
-#'  
-#' #===== Example with only one species in the data.frame
-#' bg <- droplevels(subset(df,species=="Bluegill"))
-#' bg$Wr4 <- wrAdd(wt~tl+species,data=bg)
-#' bg
+#' peek(tmp,n=10)
+#' 
+#' #===== Simple example with only one species in the data.frame
+#' tmp <- subset(PSDWRtest,species %in% c("Yellow Perch"),
+#'               select=c("species","len","wt"))
+#' tmp$wr <- wrAdd(wt~len+species,data=tmp)
+#' peek(tmp,n=6)
+#' 
+#' #===== Example of species with sub-groups but only 1 sub-group in data.frame
+#' #-----   Group not in species name so must specify group with WsOpts
+#' tmp <- subset(PSDWRtest,species=="Brown Trout" & location=="Trout Lake",
+#'               select=c("species","len","wt"))
+#' tmp$wr1 <- wrAdd(wt~len+species,data=tmp,
+#'                  WsOpts=list("Brown Trout"=list("group"="lotic")))
+#' 
+#' #-----   Group in species name so don't specify group with WsOpts
+#' tmp$species2 <- "Brown Trout (lotic)"
+#' tmp$wr2 <- wrAdd(wt~len+species2,data=tmp)  # note use of species2
+#' 
+#' peek(tmp,n=6)
+#' 
+#' #===== Example of species with sub-groups and 2 sub-groups in data.frame
+#' tmp <- subset(PSDWRtest,species=="Brown Trout",
+#'               select=c("species","location","len","wt"))
+#' #-----   Must create "species" with sub-groups in name
+#' #-----     Many ways to do this, this is just one example for this case
+#' tmp$species2 <- ifelse(tmp$location=="Trout Lake",
+#'                        "Brown Trout (lotic)","Brown Trout (lentic)")
+#' tmp$wr <- wrAdd(wt~len+species2,data=tmp)  # note use of species2
+#' peek(tmp,n=6)
 #' 
-#' #===== Example with a species that has Ws eqns for multiple groups and a
-#' #      group needs to be specified with WsOpts
-#' wae <- data.frame(species=factor(rep(c("Walleye"),30)),
-#'                   tl=round(rnorm(30,500,200),0))
-#' wae$wt <- round(3.33e-06*wae$tl^3.16+rnorm(30,0,50),1)
-#' # wae$Wr <- wrAdd(wt~tl+species,data=wae) # will err b/c multiple groups
-#' wae$Wr <- wrAdd(wt~tl+species,data=wae,
-#'                 WsOpts=list(Walleye=list(group="overall")))
-#' peek(wae,n=10)
+#' #===== Example of a species name that needs the thesaurus
+#' tmp <- subset(PSDWRtest,species %in% c("Yellow Perch","Bluegill Sunfish"),
+#'               select=c("species","len","wt"))
+#' #-----  Below will not add wr for "Bluegill Sunfish" as not in WsLit ("Bluegill" is)
+#' tmp$wr1 <- wrAdd(wt~len+species,data=tmp)
+#' #-----  Use thesaurus to identify "Bluegill Sunfish" as "Blueill
+#' tmp$wr2 <- wrAdd(wt~len+species,data=tmp,thesaurus=c("Bluegill"="Bluegill Sunfish"))
+#' peek(tmp,n=10)
+#' 
+#' #===== Example of species that has Ws eqns for multiple reference values
+#' tmp <- subset(PSDWRtest,species=="Ruffe",select=c("species","len","wt"))
+#' #-----  Below will err as Ruffe has Ws eqns for multiple reference values
+#' # tmp$wr <- wrAdd(wt~len+species,data=tmp)
+#' #-----  Must choose which eqn to use with WsOpts
+#' tmp$wr <- wrAdd(wt~len+species,data=tmp,
+#'                 WsOpts=list(Ruffe=list(ref=75)))
+#' peek(tmp,n=6)
+#' 
+#' #===== Example with two uses of WsOpts (and one species without)
+#' tmp <- subset(PSDWRtest,species %in% c("Ruffe","Muskellunge","Iowa Darter"),
+#'               select=c("species","len","wt"))
+#' tmp$wr <- wrAdd(wt~len+species,data=tmp,
+#'                 WsOpts=list(Muskellunge=list(group="overall"),
+#'                             Ruffe=list(ref=75)))
+#' peek(tmp,n=10)
 #' 
 #' @rdname wrAdd
 #' @export
@@ -85,7 +117,7 @@ wrAdd <- function (wt,...) {
 
 #' @rdname wrAdd
 #' @export
-wrAdd.default <- function(wt,len,spec,
+wrAdd.default <- function(wt,len,spec,thesaurus=NULL,
                           units=c("metric","English"),WsOpts=NULL,...) {
   ###### Internal Function
   #===== Print error if no options given, but they are needed
@@ -94,7 +126,7 @@ wrAdd.default <- function(wt,len,spec,
     print(df[,c("species","group","ref","method")])
     #----- Error message for next two possible problems
     STOP("More than one Ws equation exists for ",iStrCollapse(unique(df$species)),
-         ". Please use a named list in 'opts=' to select one ",
+         ". Please use a named list in 'WsOpts=' to select one ",
          "equation for ",iStrCollapse(unique(df$species))," by specifing 'group', ",
          "'ref', or 'method' as appropriate. See details in documentation ",
          "and above (for reference).")
@@ -107,7 +139,7 @@ wrAdd.default <- function(wt,len,spec,
     #----- Reduce Wsdf to just for that species
     Wsdf <- droplevels(Wsdf[Wsdf$species==species,])
     #----- If >1 Ws eqn for species/units, then need user to further define
-    #      with opts, otherise one Ws eqn is returned
+    #      with opts, otherwise one Ws eqn is returned
     if (nrow(Wsdf)>1) {
       # ..... Need opts for species but none given (at all) so STOP
       if (is.null(WsOpts)) iErrOpts(Wsdf)
@@ -126,8 +158,8 @@ wrAdd.default <- function(wt,len,spec,
         Wsdf <- droplevels(Wsdf[Wsdf[[names(tmp)]]==tmp,])
         if (nrow(Wsdf)==0)
           STOP("Use of '",crit_opts[i],"=",tmp[[1]],"' for ",iStrCollapse(species),
-               " did not return a standard weight equation. Please reconsider your use ",
-               "of 'WsOpts=' to restrict to only one equation for ",
+               " did not return a standard weight equation. Please reconsider your ",
+               "use of 'WsOpts=' to restrict to only one equation for ",
                iStrCollapse(species),".")
         else if (nrow(Wsdf)>1) {
           #..... send error if not reduced to only one Ws equation
@@ -143,7 +175,6 @@ wrAdd.default <- function(wt,len,spec,
     #----- Return appropriate part of Wsdf (i.e., WSlit)
     Wsdf
   }
-  
   ###### END Internal Function
 
   ###### BEGIN Main Function
@@ -156,7 +187,7 @@ wrAdd.default <- function(wt,len,spec,
   
   #===== Prepare the Ws literature values data frame
   #----- load WSlit data frame into this functions environment
-  WSlit <- FSA::WSlit
+  WSlit <- iPrepWSlit(thesaurus)
   #----- isolate only those data for which those units exist
   WSlit <- droplevels(WSlit[WSlit$units==units,])
   
@@ -166,8 +197,8 @@ wrAdd.default <- function(wt,len,spec,
                      Wr=rep(NA,length(len)))
   #===== Initiate a blank new data frame with same columns as old data frame
   ndata <- data[-c(seq_len(nrow(data))),]  
-  #===== get list of species in data
-  specs <- unique(spec)
+  #===== get list of species in data ... change from factor to character if necessary
+  specs <- as.character(unique(spec))
   
   #===== cycle through each species where WS equations are known
   for (i in seq_along(specs)) {
@@ -199,7 +230,7 @@ wrAdd.default <- function(wt,len,spec,
 
 #' @rdname wrAdd
 #' @export
-wrAdd.formula <- function(wt,data,units=c("metric","English"),...) {
+wrAdd.formula <- function(wt,data,thesaurus=NULL,units=c("metric","English"),...) {
   #===== Perform some checks on the formula
   tmp <- iHndlFormula(wt,data,expNumR=1,expNumE=2,expNumENums=1,expNumEFacts=1)
   if (tmp$vnum!=3) STOP("'wt' must have one variable on the left-hand-side ",
@@ -215,5 +246,44 @@ wrAdd.formula <- function(wt,data,units=c("metric","English"),...) {
 
   #===== Call the wrAdd.default
   wrAdd.default(tmp$mf[,tmp$Rpos],tmp$mf[,tmp$ENumPos],
-                tmp$mf[,tmp$EFactPos],units,...)
+                tmp$mf[,tmp$EFactPos],thesaurus,units,...)
 }
+
+# ==============================================================================
+# Internal -- prepare WSlit by loading it and replacing its default names with
+#             names in the thesaurus, if any
+# ==============================================================================
+iPrepWSlit <- function(thesaurus) {
+  # Load WSlit into dat in this function namespace
+  dat <- FSA::WSlit
+  if (!is.null(thesaurus)) {
+    # Some sanity checks on thesaurus
+    if (!(is.vector(thesaurus) | is.list(thesaurus)))
+      STOP("'thesaurus' must be either a vector or list. ",
+           "Make sure it is not 'factor'ed.")
+    if (length(names(thesaurus))==0)
+      STOP("Values in 'thesaurus' must be named (with species names from 'WSlit'.)")
+    if (!is.character(thesaurus))
+      STOP("Values in 'thesaurus' must be strings of species names.")
+    # thesaurus appears to be a named vector/list of strings ... start processing
+    # Alphabetize names in thesaurus to match dat/WSlit
+    thesaurus <- thesaurus[order(names(thesaurus))]
+    # Remove name from thesaurus if not in dat/WSlit
+    thes.nokeep <- which(!names(thesaurus) %in% unique(dat$species))
+    if (length(thes.nokeep)>0) {
+      MESSAGE("The following species names were in 'thesaurus' but do ",
+              "not have an entry in 'WSlit' and will be ignored: ",
+              iStrCollapse(names(thesaurus)[thes.nokeep]),".")
+      thesaurus <- thesaurus[-thes.nokeep]      
+    }
+    # Find species in dat/PSDlit in kept thesaurus and change names to thesaurus names
+    if (length(thesaurus)>0) {
+      tmp <- match(dat$species,names(thesaurus))
+      thes.pos <- which(!is.na(tmp))
+      dat$species[thes.pos] <- unname(thesaurus[tmp[thes.pos]])
+    }
+  }
+  # Return dat/WSlit
+  dat
+}
+
diff --git a/R/wsVal.R b/R/wsVal.R
index 87a8801b..dba9b5e2 100644
--- a/R/wsVal.R
+++ b/R/wsVal.R
@@ -10,6 +10,8 @@
 #' 
 #' Note from above that the coefficients are returned for the TRANSFORMED model. Thus, to obtain the standard weight (Ws), the returned coefficients are used to compute the common log of Ws which must then be raised to the power of 10 to compute the Ws.
 #' 
+#' Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.
+#' 
 #' See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html}{this article} for a demonstration.
 #'
 #' @param species A string that contains the species name for which to find Ws coefficients. See details.
@@ -18,6 +20,7 @@
 #' @param ref A numeric that indicates which percentile the equation should be returned for. Note that the vast majority of equations only exist for the \code{75}th percentile (DEFAULT).
 #' @param method A string that indicates which equation-derivation method should be used (one of \code{"RLP"}, \code{"EmP"}, or \code{"Other"}). Defaults to \code{NULL} which will result in the only method available being returned or an error asking the user to choose a method for equations for which more than one method is available (which is the case for very few species).
 #' @param simplify A logical that indicates whether the \sQuote{units}, \sQuote{ref}, \sQuote{measure}, \sQuote{method}, \sQuote{comments}, and \sQuote{source} fields should be included (\code{=FALSE}) or not (\code{=TRUE}; DEFAULT). See details.
+#' @param dat Data.frame of Gabelhouse length categories for all species. Defaults to `WSlit` and is generally not used by the user (this simplifies use of this function in \code{wrAdd}).
 #'
 #' @return A one row data frame from \code{\link{WSlit}} that contains all known information about the standard weight equation for a given species, type of measurement units, and reference percentile if \code{simplify=FALSE}. If \code{simplify=TRUE} then only the species; minimum and maximum length for which the standard equation should be applied; and intercept, slope, and quadratic  coefficients for the standard weight equation. Note that the maximum length and the quadratic coefficient will not be returned if they do not exist in \code{\link{WSlit}} for the species.
 #'
@@ -37,90 +40,91 @@
 #' #===== List all available Ws equations
 #' wsVal()
 #' 
-#' #===== Find equations for Bluegill, in different formats
-#' wsVal("Bluegill")
-#' wsVal("Bluegill",units="metric")
-#' wsVal("Bluegill",units="English")
-#' wsVal("Bluegill",units="English",simplify=TRUE)
-#' 
-#' #===== Find equation for Cutthroat Trout, demonstrating use of group
-#' wsVal("Cutthroat Trout",group="lotic")
-#' wsVal("Cutthroat Trout",group="lentic")
+#' #===== Find equations for Yellow Perch, in different formats
+#' wsVal("Yellow Perch")
+#' wsVal("Yellow Perch",units="metric")   # same as default
+#' wsVal("Yellow Perch",units="English")
+#' wsVal("Yellow Perch",units="English",simplify=TRUE)
 #' 
 #' #===== Find equation for Ruffe, demonstrating quadratic formula
 #' wsVal("Ruffe",units="metric",ref=75,simplify=TRUE)
 #' wsVal("Ruffe",units="metric",ref=50,simplify=TRUE)
 #'
+#' #===== Find equation for Brown Trout, which has equations for sub-groups
+#' #-----   demonstrating use of group= argument
+#' wsVal("Brown Trout",group="lotic")
+#' wsVal("Brown Trout",group="lentic")
+#' #-----   demonstrating group combined in species name, so no group= arg
+#' wsVal("Brown Trout (lotic)")
+#' wsVal("Brown Trout (lentic)")
+#' 
 #' #===== Add Ws & Wr values to a data frame (for one species) ... also see wrAdd()
-#' #----- Get Ws equation info
-#' wsBG <- wsVal("Bluegill",units="metric")
-#' wsBG
+#' #----- Example data from PSDWRtest, simplify variables for this example
+#' yepdf <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len","wt"))
+#' str(yepdf)
 #' 
-#' #----- Get example data
-#' data(BluegillLM,package="FSAdata")
-#' str(BluegillLM)
+#' #----- Get Ws equation info
+#' ( wsYEP <- wsVal("Yellow Perch",units="metric") )
 #' 
-#' #----- Add Ws (eqn is on log10-log10 scale ... so log10 len, 10^ result)
-#' BluegillLM$ws <- 10^(wsBG[["int"]]+wsBG[["slope"]]*log10(BluegillLM$tl))
+#' #----- Add Ws (eqn is on log10-log10 scale ... so log10 length, 10^ result)
+#' yepdf$ws <- 10^(wsYEP[["int"]]+wsYEP[["slope"]]*log10(yepdf$len))
 #' 
 #' #----- Change Ws for fish less than min.TL to NA
-#' BluegillLM$ws[BluegillLM$tl<wsBG[["min.TL"]]] <- NA
+#' yepdf$ws[yepdf$len<wsYEP[["min.TL"]]] <- NA
 #' 
 #' #----- Add Wr
-#' BluegillLM$wr <- BluegillLM$wght/BluegillLM$ws*100
+#' yepdf$wr <- yepdf$wt/yepdf$ws*100
 #' 
 #' #----- Examine results
-#' peek(BluegillLM,n=6)
+#' peek(yepdf,n=6)
 #' 
 #' #----- Same as above but using dplyr
-#' data(BluegillLM,package="FSAdata")   # reset to original for this example
 #' if (require(dplyr)) {
-#'   BluegillLM <- BluegillLM %>%
-#'     mutate(ws=10^(wsBG[["int"]]+wsBG[["slope"]]*log10(tl)),
-#'            ws=ifelse(tl<wsBG[["min.TL"]],NA,ws),
-#'            wr=wght/ws*100)
-#'   peek(BluegillLM,n=6)
+#'   yepdf <- PSDWRtest %>% filter(species=="Yellow Perch") %>% select(species,len,wt) %>%
+#'     mutate(ws=10^(wsYEP[["int"]]+wsYEP[["slope"]]*log10(len)),
+#'            ws=ifelse(len<wsYEP[["min.TL"]],NA,ws),
+#'            wr=wt/ws*100)
+#'   peek(yepdf,n=6)
 #' }
 #'
 #' @export
 wsVal <- function(species="List",group=NULL,
                   units=c("metric","English"),ref=NULL,method=NULL,
-                  simplify=FALSE) {
+                  simplify=FALSE,dat=NULL) {
   #===== load WSlit data frame into this functions environment
   type <- measure <- NULL   # avoiding bindings warning in RCMD CHECK
+  if (is.null(dat)) dat <- FSA::WSlit
+
   units <- match.arg(units)
-  WSlit <- FSA::WSlit
-  
-  
   if (length(species)>1) STOP("'species' must contain only one name.")
-  if (species=="List") iListSpecies(WSlit)
+  if (species=="List") iListSpecies(dat)
   else {
     #===== Make checks on species
-    #----- Species given, make sure in WSlit, then reduce data.frame to that species
-    if (!any(unique(WSlit$species)==species)) {
+    #----- Species given, make sure in dat/WSlit, then reduce data.frame to that species
+    if (!any(unique(dat$species)==species)) {
       tmp <- paste0("There is no Ws equation in 'WSlit' for ",iStrCollapse(species),".")
-      if (any(unique(WSlit$species)==capFirst(species)))
+      if (any(unique(dat$species)==capFirst(species)))
         STOP(tmp," However, there is an entry for ",iStrCollapse(capFirst(species)),
              " (note spelling, including capitalization).\n\n")
       else STOP(tmp," Type 'wsVal()' to see a list of available species.\n\n")
-    } else df <- droplevels(WSlit[WSlit$species==species,])
+    } else df <- droplevels(dat[dat$species==species,])
     
     #===== Determine if "group"s for that species and then handle
     if (any(!is.na(df$group))) {
-      #----- There are groups in WSlit, user did not supply group= so stop
+      #----- There are groups in dat/WSlit, user did not supply group= so stop
       if (is.null(group))
         STOP(iStrCollapse(species)," has Ws equations for these sub-groups: ",
              iStrCollapse(unique(df$group)),
              ". Please use 'group=' to select the equation for one of these groups.\n\n")
-      #----- There are groups in WSlit, user supplied group=, is it good?
+      #----- There are groups in dat/WSlit, user supplied group=, is it good?
       if (!group %in% unique(df$group))
         STOP("There is no ",iStrCollapse(group)," group for ",iStrCollapse(species),
              ". Please select from one of these groups: ",
              iStrCollapse(unique(df$group),last="or"),".\n\n")
-      #----- There are groups in WSlit, user supplied group= is good, reduce df
+      #----- There are groups in dat/WSlit, user supplied group= is good, reduce df
       df <- droplevels(df[df$group==group,])
     } else {
-      #----- There are no groups in WSlit ... check if user supplied group=
+      #----- There are no groups in dat/WSlit ... check if user supplied group=
       if (!is.null(group)) WARN("There are no groups for ",iStrCollapse(species),
                                 "; thus, your 'group=' has been ignored.")
       #---- drop group variable from df
@@ -129,7 +133,7 @@ wsVal <- function(species="List",group=NULL,
     
     #===== Checks on method
     tmp <- unique(df$method)
-    #----- If more than one method in WSlit but method NULL then force a choice
+    #----- If more than one method in dat/WSlit but method NULL then force a choice
     #      otherwise (i.e., one method and method NULL) then continue with df
     if (is.null(method) & length(tmp)>1) 
       STOP("Ws equations exist for both the RLP and EmP 'method's for ",
@@ -151,7 +155,7 @@ wsVal <- function(species="List",group=NULL,
     
     #===== Make checks on ref (if OK reduce data frame to that ref)
     tmp <- unique(df$ref)
-    #----- If more than one ref in WSlit but ref is NULL then force a choice
+    #----- If more than one ref in dat/WSlit but ref is NULL then force a choice
     #      otherwise (i.e., one ref and ref is NULL) then continue with df
     if (is.null(ref) & length(tmp)>1) 
       STOP("Ws equations exist for more than one 'ref'erence value for ",
@@ -183,4 +187,4 @@ wsVal <- function(species="List",group=NULL,
       df <- df[,names(df) %in% c("species",tmp,"int","slope","quad")]
     df
   }
-}
+}
\ No newline at end of file
diff --git a/_pkgdown.yml b/_pkgdown.yml
index 63171905..c0c12647 100644
--- a/_pkgdown.yml
+++ b/_pkgdown.yml
@@ -138,6 +138,7 @@ reference:
       - PikeNY
       - PikeNYPartial1
       - PSDlit
+      - PSDWRtest
       - SMBassLS
       - SMBassWB
       - SpotVA1
diff --git a/cran-comments/cran-comments-v0_10_1.md b/cran-comments/cran-comments-v0_10_1.md
new file mode 100644
index 00000000..02261ad4
--- /dev/null
+++ b/cran-comments/cran-comments-v0_10_1.md
@@ -0,0 +1,10 @@
+* This updates the existing FSA package on CRAN with changes described in NEWS and minor changes.
+
+## Notes
+* There may be a note about "fishR" being misspelled in the description. This is not a misspelling.
+
+## Testing Environments
+* My Windows machine.
+* Win Builder -- old-release, release, and development.
+* Mac Builder
+* GitHub Action (R-CMD-check.yaml)
diff --git a/data-raw/PSDlit.csv b/data-raw/PSDlit.csv
index 473af9fd..48794fe8 100644
--- a/data-raw/PSDlit.csv
+++ b/data-raw/PSDlit.csv
@@ -1,4 +1,5 @@
 species,group,substock.in,stock.in,quality.in,preferred.in,memorable.in,trophy.in,substock.cm,stock.cm,quality.cm,preferred.cm,memorable.cm,trophy.cm,source
+Alabama Bass,NA,0,7,11,14,17,20,0,18,28,35,43,51,Sammons et al. (2025)
 Arctic Grayling,NA,0,8,12,16,20,22,0,20,30,40,50,55,Hyatt (2000)
 Bighead Carp,NA,0,11.75,21.25,26.75,35,43.75,0,30,54,68,89,111,Phelps and Willis (2013)
 Bigmouth Buffalo,NA,0,11,18,24,30,37,0,28,46,61,76,94,Bister et al. (2000)
@@ -10,17 +11,26 @@ Bluegill,NA,0,3,6,8,10,12,0,8,15,20,25,30,Gabelhouse (1984a)
 Brook Trout,overall,0,8,12,16,20,24,0,20,30,40,50,60,Hyatt (2000)
 Brook Trout,lentic,0,8,13,NA,NA,NA,0,20,33,NA,NA,NA,Anderson (1980)
 Brook Trout,lotic,0,5,8,NA,NA,NA,0,13,20,NA,NA,NA,Anderson (1980)
+Brook Trout (overall),NA,0,8,12,16,20,24,0,20,30,40,50,60,Hyatt (2000)
+Brook Trout (lentic),NA,0,8,13,NA,NA,NA,0,20,33,NA,NA,NA,Anderson (1980)
+Brook Trout (lotic),NA,0,5,8,NA,NA,NA,0,13,20,NA,NA,NA,Anderson (1980)
 Brown Bullhead,NA,0,5,8,11,14,17,0,13,20,28,36,43,Bister et al. (2000)
 Brown Trout,lentic,0,8,12,16,20,24,0,20,30,40,50,60,Hyatt and Hubert (2001)
 Brown Trout,lotic,0,6,9,12,15,18,0,15,23,30,38,46,Milewski and Brown (1994)
+Brown Trout (lentic),NA,0,8,12,16,20,24,0,20,30,40,50,60,Hyatt and Hubert (2001)
+Brown Trout (lotic),NA,0,6,9,12,15,18,0,15,23,30,38,46,Milewski and Brown (1994)
 Bull Trout,NA,0,8,16,20,26,31,0,20,40,50,65,80,Hyatt (2000)
 Burbot,NA,0,8,15,21,26,32,0,20,38,53,67,82,Fisher et al. (1996)
 Chain Pickerel,NA,0,10,15,20,25,30,0,25,38,51,63,76,Gabelhouse (1984a)
 Channel Catfish,NA,0,11,16,24,28,36,0,28,41,61,71,91,Gabelhouse (1984a)
 Chinook Salmon,landlocked,0,11,18,24,30,37,0,28,46,61,76,94,Hill and Duffy (1993)
+Chinook Salmon (landlocked),NA,0,11,18,24,30,37,0,28,46,61,76,94,Hill and Duffy (1993)
 Common Carp,NA,0,11,16,21,26,33,0,28,41,53,66,84,Gabelhouse (1984a)
 Cutthroat Trout,NA,0,8,14,18,24,30,0,20,35,45,60,75,Kruse and Hubert (1997)
+Cutthroat Trout (lentic),NA,0,8,14,18,24,30,0,20,35,45,60,75,Kruse and Hubert (1997)
+Cutthroat Trout (lotic),NA,0,8,14,18,24,30,0,20,35,45,60,75,Kruse and Hubert (1997)
 Flathead Catfish,NA,0,14,20,28,34,40,0,35,51,71,86,102,Quinn (1991)
+Flier,NA,0,3,5,6,7,9,0,8,13,15,18,23,Bonvechio et al (2025)
 Freshwater Drum,NA,0,8,12,15,20,25,0,20,30,38,51,63,Gabelhouse (1984a)
 Gizzard Shad,NA,0,7,11,NA,NA,NA,0,18,28,NA,NA,NA,Anderson and Gutreuter (1983)
 Golden Trout,NA,0,8,10,14,18,22,0,20,25,35,45,55,Hyatt (2000)
@@ -31,16 +41,26 @@ Kokanee,NA,0,8,10,12,16,20,0,12,25,30,40,50,Hyatt (2000)
 Lake Chubsucker,NA,0,4,7,10,11,14,0,11,18,24,28,35,Bonvechio and Bonvechio (2021)
 Lake Trout,NA,0,12,20,26,31,39,0,30,50,65,80,100,Hubert et al. (1994)
 Largemouth Bass,NA,0,8,12,15,20,25,0,20,30,38,51,63,Gabelhouse (1984a)
+Longear Sunfish,NA,0,2.5,4,5,7,8.25,0,6,10,13,17,21,Miller et al. (2025)
 Longnose Gar,NA,0,16,27,36,45,55,0,41,69,91,114,140,Bister et al. (2000)
 Muskellunge,NA,0,20,30,38,42,50,0,51,76,97,107,127,Gabelhouse (1984a)
+Muskellunge (overall),NA,0,20,30,38,42,50,0,51,76,97,107,127,Gabelhouse (1984a)
+Muskellunge (female),NA,0,20,30,38,42,50,0,51,76,97,107,127,Gabelhouse (1984a)
+Muskellunge (male),NA,0,20,30,38,42,50,0,51,76,97,107,127,Gabelhouse (1984a)
 Northern Pike,NA,0,14,21,28,34,44,0,35,53,71,86,112,Gabelhouse (1984a)
+Northern Pikeminnow,NA,0,7,10,14,16,20,0,17,26,35,41,51,Voss and Quist (2025)
 Northern Snakehead,NA,0,7.5,13,16.5,22,27.5,0,19,34,42,55,70,Kim et al. (2019)
 Paddlefish,NA,0,16,26,33,41,51,0,41,66,84,104,130,Brown and Murphy (1993)
+Paddlefish (overall),NA,0,16,26,33,41,51,0,41,66,84,104,130,Brown and Murphy (1993)
+Paddlefish (female),NA,0,16,26,33,41,51,0,41,66,84,104,130,Brown and Murphy (1993)
+Paddlefish (male),NA,0,16,26,33,41,51,0,41,66,84,104,130,Brown and Murphy (1993)
 Pallid Sturgeon,NA,0,13,25,33,41,50,0,33,63,84,104,147,Shuman et al. (2006)
-Palmetto Bass,revised,0,10,16,20,24,28,0,25,41,51,61,71,Dumont and Neely (2011)
-Palmetto Bass,original,0,8,12,15,20,25,0,20,30,38,51,63,Gabelhouse (1984a)
+Palmetto Bass,NA,0,10,16,20,24,28,0,25,41,51,61,71,Dumont and Neely (2011)
+Palmetto Bass (original),NA,0,8,12,15,20,25,0,20,30,38,51,63,Gabelhouse (1984a)
 Pumpkinseed,NA,0,3,6,8,10,12,0,8,15,20,25,30,Gabelhouse (1984a)
 Rainbow Trout,NA,0,10,16,20,26,31,0,25,40,50,65,80,Simpkins and Hubert (1996)
+Rainbow Trout (lentic),NA,0,10,16,20,26,31,0,25,40,50,65,80,Simpkins and Hubert (1996)
+Rainbow Trout (lotic),NA,0,10,16,20,26,31,0,25,40,50,65,80,Simpkins and Hubert (1996)
 Redbreast Sunfish,NA,0,3,5,7,8,10,0,8,13,18,20,25,Bonvechio et al. (2023)
 Redear Sunfish,NA,0,4,7,9,11,13,0,10,18,23,28,33,Gabelhouse (1984a)
 River Carpsucker,NA,0,7,11,14,18,22,0,18,28,36,46,56,Bister et al. (2000)
@@ -54,14 +74,18 @@ Silver Carp,NA,0,10,17.75,22,29,36.5,0,25,45,56,74,93,Phelps and Willis (2013)
 Smallmouth Bass,NA,0,7,11,14,17,20,0,18,28,35,43,51,Gabelhouse (1984a)
 Smallmouth Buffalo ,NA,0,11,18,24,30,37,0,28,46,61,76,94,Bister et al. (2000)
 Splake,NA,0,8,10,14,16,22,0,20,25,35,40,55,Hyatt (2000)
-Spotted Bass,NA,0,7,11,14,17,20,0,18,28,35,43,51,Gabelhouse (1984a)
+Spotted Bass,NA,0,5.5,9,12,14,17.25,0,15,23,30,35,44,Sammons et al. (2025)
+Spotted Bass (original),NA,0,7,11,14,17,20,0,18,28,35,43,51,Gabelhouse (1984a)
 Spotted Gar,NA,0,12,19,25,31,39,0,30,48,64,79,99,Bister et al. (2000)
 Spotted Sunfish,NA,0,2,4,5,6,7,0,5,10,13,15,18,Bonvechio et al. (2023)
 Striped Bass,landlocked,0,12,20,30,35,45,0,30,51,76,89,114,Gabelhouse (1984a)
+Striped Bass (landlocked),NA,0,12,20,30,35,45,0,30,51,76,89,114,Gabelhouse (1984a)
 Striped Bass X White Bass,NA,0,10,16,20,24,28,0,25,41,51,61,71,Dumont and Neely (2011)
 Suwannee Bass,NA,0,6,9.75,11.75,13.75,15.75,0,15,25,30,35,40,Bonvechio et al. (2010)
 Utah Chub,NA,0,4,8,10,12,15,0,10,20,25,30,38,Black et al. (2021)
 Walleye,NA,0,10,15,20,25,30,0,25,38,51,63,76,Gabelhouse (1984a)
+Walleye (overall),NA,0,10,15,20,25,30,0,25,38,51,63,76,Gabelhouse (1984a)
+Walleye (30-149 mm),NA,0,6,NA,NA,NA,NA,0,15,NA,NA,NA,NA,Gabelhouse (1984a)
 Warmouth,NA,0,3,6,8,10,12,0,8,15,20,25,30,Gabelhouse (1984a)
 White Bass,NA,0,6,9,12,15,18,0,15,23,30,38,46,Gabelhouse (1984a)
 White Catfish,NA,0,8,13,17,21,26,0,20,33,43,53,66,Bister et al. (2000)
diff --git a/data-raw/WSlit.csv b/data-raw/WSlit.csv
index 99a58c12..31eb5640 100644
--- a/data-raw/WSlit.csv
+++ b/data-raw/WSlit.csv
@@ -1,19 +1,27 @@
 species,group,measure,units,ref,method,min.len,max.len,int,slope,quad,source,comment
 Aegean Chub,NA,TL,metric,75,EmP,70,220,-3.801,1.783,0.329,Giannetto et al. (2012),none
 African Sharptooth Catfish,NA,TL,metric,75,EmP,180,450,-3.668,1.885,0.2087,Emiroglu et al. (2018),only from Sakarya River Basin (Turkey)
-Alabama Bass,NA,TL,metric,75,RLP,100,NA,-5.598,3.2904,NA,Dicenzo et al. (1995),min.len not made clear (assumed same as Spotted Bass); same as Spotted Bass (Alabama subspecies)
+Alabama Bass,NA,TL,metric,75,EmP,150,550,-5.6189,3.284,NA,Sammons et al. (2025),RLP and EmP (quadratic) models not recommended
+Alabama Bass,NA,TL,English,75,EmP,6,22,-3.5339,3.175,NA,Sammons et al. (2025),RLP and EmP (quadratic) models not recommended
+Alabama Bass (original),NA,TL,metric,75,RLP,100,NA,-5.598,3.2904,NA,Dicenzo et al. (1995),HAS BEEN REVISED; min.len not made clear (assumed same as Spotted Bass)
 Ankara Nase,NA,TL,metric,75,EmP,70,240,-10.017,7.402,-0.971,Emiroglu et al. (2020),only from Turkey
 Arctic Grayling,NA,TL,metric,75,RLP,150,NA,-5.241,3.083,NA,Gilham et al. (2021),authors note that either RLP or EmP method may be used
 Arctic Grayling,NA,TL,metric,75,EmP,150,NA,-5.279,3.096,NA,Gilham et al. (2021),authors note that either RLP or EmP method may be used
 Bighead Carp,NA,TL,metric,50,RLP,160,NA,-4.65006,2.88934,NA,Lamer et al. (2019),none
 Bigmouth Buffalo,NA,TL,English,75,RLP,6,NA,-3.346,3.118,NA,Bister et al. (2000),none
 Bigmouth Buffalo,NA,TL,metric,75,RLP,150,NA,-5.069,3.118,NA,Bister et al. (2000),none
-Bigmouth Sleepers,all,TL,metric,25,EmP,70,390,-6,3.631,-0.111,Cooney and Kwak (2010),none
-Bigmouth Sleepers,all,TL,metric,50,EmP,70,390,-5.4,3.153,-0.011,Cooney and Kwak (2010),quadratic term not significant
-Bigmouth Sleepers,all,TL,metric,75,EmP,70,390,-4.323,2.237,0.188,Cooney and Kwak (2010),none
+Bigmouth Sleepers,overall,TL,metric,25,EmP,70,390,-6,3.631,-0.111,Cooney and Kwak (2010),none
+Bigmouth Sleepers,overall,TL,metric,50,EmP,70,390,-5.4,3.153,-0.011,Cooney and Kwak (2010),quadratic term not significant
+Bigmouth Sleepers,overall,TL,metric,75,EmP,70,390,-4.323,2.237,0.188,Cooney and Kwak (2010),none
 Bigmouth Sleepers,lotic,TL,metric,25,EmP,40,390,-6.083,3.708,-0.128,Cooney and Kwak (2010),none
 Bigmouth Sleepers,lotic,TL,metric,50,EmP,40,390,-5.574,3.302,-0.043,Cooney and Kwak (2010),quadratic term not significant
 Bigmouth Sleepers,lotic,TL,metric,75,EmP,40,390,-4.933,2.764,0.075,Cooney and Kwak (2010),quadratic term not significant
+Bigmouth Sleepers (overall),NA,TL,metric,25,EmP,70,390,-6,3.631,-0.111,Cooney and Kwak (2010),none
+Bigmouth Sleepers (overall),NA,TL,metric,50,EmP,70,390,-5.4,3.153,-0.011,Cooney and Kwak (2010),quadratic term not significant
+Bigmouth Sleepers (overall),NA,TL,metric,75,EmP,70,390,-4.323,2.237,0.188,Cooney and Kwak (2010),none
+Bigmouth Sleepers (lotic),NA,TL,metric,25,EmP,40,390,-6.083,3.708,-0.128,Cooney and Kwak (2010),none
+Bigmouth Sleepers (lotic),NA,TL,metric,50,EmP,40,390,-5.574,3.302,-0.043,Cooney and Kwak (2010),quadratic term not significant
+Bigmouth Sleepers (lotic),NA,TL,metric,75,EmP,40,390,-4.933,2.764,0.075,Cooney and Kwak (2010),quadratic term not significant
 Black Bullhead,NA,TL,English,75,RLP,5,NA,-3.297,3.085,NA,Bister et al. (2000),none
 Black Bullhead,NA,TL,metric,75,RLP,130,NA,-4.974,3.085,NA,Bister et al. (2000),none
 Black Crappie,NA,TL,English,75,RLP,4,NA,-3.576,3.345,NA,Neumann and Murphy (1991),none
@@ -31,12 +39,23 @@ Brook Chub,NA,TL,metric,75,EmP,90,210,-7.75,5.75,-0.66,Giannetto et al. (2012),n
 Brook Trout,overall,TL,English,75,RLP,4.75,NA,-3.483,3.103,NA,Hyatt and Hubert (2001a),none
 Brook Trout,overall,TL,metric,75,RLP,120,NA,-5.186,3.103,NA,Hyatt and Hubert (2001a),none
 Brook Trout,Appalachia,TL,metric,75,EmP,80,226,-3.364,1.378,0.397,Harris et al. (2021),RLP and EmP (linear) models had length-related bias (thus not recommended)
+Brook Trout (overall),NA,TL,English,75,RLP,4.75,NA,-3.483,3.103,NA,Hyatt and Hubert (2001a),none
+Brook Trout (overall),NA,TL,metric,75,RLP,120,NA,-5.186,3.103,NA,Hyatt and Hubert (2001a),none
+Brook Trout (lentic),NA,TL,English,75,RLP,4.75,NA,-3.483,3.103,NA,Hyatt and Hubert (2001a),"Same as Brook Trout, but added lentic/lotic for ease of use with PSDadd"
+Brook Trout (lentic),NA,TL,metric,75,RLP,120,NA,-5.186,3.103,NA,Hyatt and Hubert (2001a),"Same as Brook Trout, but added lentic/lotic for ease of use with PSDadd"
+Brook Trout (lotic),NA,TL,English,75,RLP,4.75,NA,-3.483,3.103,NA,Hyatt and Hubert (2001a),"Same as Brook Trout, but added lentic/lotic for ease of use with PSDadd"
+Brook Trout (lotic),NA,TL,metric,75,RLP,120,NA,-5.186,3.103,NA,Hyatt and Hubert (2001a),"Same as Brook Trout, but added lentic/lotic for ease of use with PSDadd"
+Brook Trout (Appalachia),NA,TL,metric,75,EmP,80,226,-3.364,1.378,0.397,Harris et al. (2021),RLP and EmP (linear) models had length-related bias (thus not recommended)
 Brown Bullhead,NA,TL,English,75,RLP,5,NA,-3.371,3.105,NA,Bister et al. (2000),none
 Brown Bullhead,NA,TL,metric,75,RLP,130,NA,-5.076,3.105,NA,Bister et al. (2000),none
 Brown Trout,lentic,TL,English,75,RLP,5.5,NA,-3.592,3.194,NA,Hyatt and Hubert (2001b),none
 Brown Trout,lentic,TL,metric,75,RLP,140,NA,-5.422,3.194,NA,Hyatt and Hubert (2001b),none
 Brown Trout,lotic,TL,English,75,RLP,5.5,NA,-3.366,2.96,NA,Milewski and Brown (1994),none
 Brown Trout,lotic,TL,metric,75,RLP,140,NA,-4.867,2.96,NA,Milewski and Brown (1994),none
+Brown Trout (lentic),NA,TL,English,75,RLP,5.5,NA,-3.592,3.194,NA,Hyatt and Hubert (2001b),none
+Brown Trout (lentic),NA,TL,metric,75,RLP,140,NA,-5.422,3.194,NA,Hyatt and Hubert (2001b),none
+Brown Trout (lotic),NA,TL,English,75,RLP,5.5,NA,-3.366,2.96,NA,Milewski and Brown (1994),none
+Brown Trout (lotic),NA,TL,metric,75,RLP,140,NA,-4.867,2.96,NA,Milewski and Brown (1994),none
 Bull Trout,NA,TL,English,75,RLP,4.75,NA,-3.608,3.115,NA,Hyatt and Hubert (2000),none
 Bull Trout,NA,TL,metric,75,RLP,120,NA,-5.327,3.115,NA,Hyatt and Hubert (2000),none
 Burbot,NA,TL,English,75,RLP,8,NA,-3.454,2.898,NA,Fisher et al. (1996),none
@@ -48,6 +67,8 @@ Channel Catfish,NA,TL,English,75,RLP,2.75,NA,-3.829,3.294,NA,Brown et al. (1995)
 Channel Catfish,NA,TL,metric,75,RLP,70,NA,-5.8,3.294,NA,Brown et al. (1995),none
 Chinook Salmon,NA,TL,English,75,RLP,8,NA,-3.243,2.901,NA,Halseth et al. (1990),none
 Chinook Salmon,NA,TL,metric,75,RLP,200,NA,-4.661,2.901,NA,Halseth et al. (1990),none
+Chinook Salmon (landlocked),NA,TL,English,75,RLP,8,NA,-3.243,2.901,NA,Halseth et al. (1990),Not clear just landlocked; added to simplify use with PSDlit
+Chinook Salmon (landlocked),NA,TL,metric,75,RLP,200,NA,-4.661,2.901,NA,Halseth et al. (1990),Not clear just landlocked; added to simplify use with PSDlit
 Cisco,NA,TL,English,75,RLP,4,NA,-3.644,3.224,NA,Fisher and Fielder (1998),same as for Lake Herring
 Cisco,NA,TL,metric,75,RLP,100,NA,-5.517,3.224,NA,Fisher and Fielder (1998),same as for Lake Herring
 Common Carp,NA,TL,English,75,RLP,8,NA,-3.194,2.92,NA,Bister et al. (2000),none
@@ -56,12 +77,17 @@ Cutthroat Trout,lentic,TL,English,75,RLP,5,NA,-3.514,3.086,NA,Kruse and Hubert (
 Cutthroat Trout,lentic,TL,metric,75,RLP,130,NA,-5.192,3.086,NA,Kruse and Hubert (1997),none
 Cutthroat Trout,lotic,TL,English,75,RLP,5,NA,-3.492,3.099,NA,Kruse and Hubert (1997),none
 Cutthroat Trout,lotic,TL,metric,75,RLP,130,NA,-5.189,3.099,NA,Kruse and Hubert (1997),none
+Cutthroat Trout (lentic),NA,TL,English,75,RLP,5,NA,-3.514,3.086,NA,Kruse and Hubert (1997),none
+Cutthroat Trout (lentic),NA,TL,metric,75,RLP,130,NA,-5.192,3.086,NA,Kruse and Hubert (1997),none
+Cutthroat Trout (lotic),NA,TL,English,75,RLP,5,NA,-3.492,3.099,NA,Kruse and Hubert (1997),none
+Cutthroat Trout (lotic),NA,TL,metric,75,RLP,130,NA,-5.189,3.099,NA,Kruse and Hubert (1997),none
 European Chub,NA,TL,metric,75,EmP,70,470,-4.79,2.68,0.1,Giannetto et al. (2011),only from Italy (see Cavedano Chub)
 European Perch,NA,TL,metric,75,EmP,80,460,-3.1483,1.2663,0.4291,Giannetto et al. (2012),none
 Flannelmouth Sucker,NA,TL,English,75,RLP,4,NA,-3.527,3.068,NA,Didenko et al. (2004),none
 Flannelmouth Sucker,NA,TL,metric,75,RLP,100,NA,-5.18,3.068,NA,Didenko et al. (2004),none
 Flathead Catfish,NA,TL,English,75,RLP,5,NA,-3.661,3.23,NA,Bister et al. (2000),none
 Flathead Catfish,NA,TL,metric,75,RLP,130,NA,-5.542,3.23,NA,Bister et al. (2000),none
+Flier,NA,TL,metric,75,RLP,80,240,-5.013,3.141,NA,Bonvechio et al (2025),none
 Fourbarbel Scraper,NA,TL,metric,75,EmP,70,280,-6.743,4.768,-0.437,Emiroglu et al. (2020),only from Turkey
 Freshwater Drum,NA,TL,English,75,RLP,4,NA,-3.575,3.204,NA,Blackwell et al. (1995),none
 Freshwater Drum,NA,TL,metric,75,RLP,100,NA,-5.419,3.204,NA,Blackwell et al. (1995),none
@@ -89,6 +115,8 @@ Largemouth Bass,NA,TL,English,75,RLP,6,NA,-3.587,3.273,NA,Henson (1991),none
 Largemouth Bass,NA,TL,metric,75,RLP,150,NA,-5.528,3.273,NA,Henson (1991),none
 Largescale Sucker,NA,TL,English,75,EmP,6.75,25.25,-3.53066,3.12136,NA,Richter (2007),none
 Largescale Sucker,NA,TL,metric,75,EmP,170,640,-5.2586,3.12136,NA,Richter (2007),none
+Longear Sunfish,NA,TL,English,75,RLP,80,180,-3.2887,3.3114,,Miller et al. (2025),none
+Longear Sunfish,NA,TL,metric,75,RLP,80,180,5.2861,3.3127,,Miller et al. (2025),none
 Longnose Gar,NA,TL,English,75,RLP,8,NA,-4.623,3.449,NA,Bister et al. (2000),none
 Longnose Gar,NA,TL,metric,75,RLP,200,NA,-6.811,3.449,NA,Bister et al. (2000),none
 Marble Trout,NA,TL,metric,75,EmP,90,570,-5.208,3.202,-0.046,Lorenzoni et al. (2012),none
@@ -103,21 +131,32 @@ Muskellunge,male,TL,English,75,RLP,15,NA,-3.921,3.245,NA,Neumann and Willis (199
 Muskellunge,male,TL,metric,75,RLP,380,NA,-5.823,3.245,NA,Neumann and Willis (1994),none
 Muskellunge,overall,TL,English,75,RLP,15,NA,-4.052,3.325,NA,Neumann and Willis (1994),none
 Muskellunge,overall,TL,metric,75,RLP,380,NA,-6.066,3.325,NA,Neumann and Willis (1994),none
+Muskellunge (female),NA,TL,English,75,RLP,15,NA,-4.07,3.34,NA,Neumann and Willis (1994),none
+Muskellunge (female),NA,TL,metric,75,RLP,380,NA,-6.105,3.34,NA,Neumann and Willis (1994),none
+Muskellunge (male),NA,TL,English,75,RLP,15,NA,-3.921,3.245,NA,Neumann and Willis (1994),none
+Muskellunge (male),NA,TL,metric,75,RLP,380,NA,-5.823,3.245,NA,Neumann and Willis (1994),none
+Muskellunge (overall),NA,TL,English,75,RLP,15,NA,-4.052,3.325,NA,Neumann and Willis (1994),none
+Muskellunge (overall),NA,TL,metric,75,RLP,380,NA,-6.066,3.325,NA,Neumann and Willis (1994),none
 Nile Tilapia,NA,TL,metric,75,EmP,80,280,-8.7951,6.751,-0.8479,Emiroglu et al. (2018),only from Sakarya River Basin (Turkey)
 Nipple-Lip Scraper,NA,TL,metric,75,EmP,70,360,-5.966,3.833,-0.181,Emiroglu et al. (2020),only from Turkey
 Northern Pike,NA,TL,English,75,RLP,4,NA,-3.745,3.096,NA,Anderson and Neumann (1996),none
 Northern Pike,NA,TL,metric,75,RLP,100,NA,-5.437,3.096,NA,Anderson and Neumann (1996),none
-Northern Pikeminnow,NA,FL,English,75,RLP,10,NA,-3.328,2.986,NA,Parker et al. (1995),same as Northern Squawfish
-Northern Pikeminnow,NA,FL,metric,75,RLP,250,NA,-4.886,2.986,NA,Parker et al. (1995),same as Northern Squawfish
+Northern Pikeminnow,NA,FL,metric,50,EmP,90,580,-5.258,3.135,NA,Voss and Quist (2025),"Other methods and quartiles used, but this was only one that was length-unbiased"
+Northern Pikeminnow (original),NA,FL,English,75,RLP,10,NA,-3.328,2.986,NA,Parker et al. (1995),HAS BEEN REVISED; Voss and Quist (2025) note that these equations are problematic and should not be used
+Northern Pikeminnow (original),NA,FL,metric,75,RLP,250,NA,-4.886,2.986,NA,Parker et al. (1995),HAS BEEN REVISED; Voss and Quist (2025) note that these equations are problematic and should not be used
 Northern Snakehead,NA,TL,metric,75,RLP,200,NA,-5.142,3.0418,NA,Kim et al. (2019),from 4 populations
-Northern Squawfish,NA,FL,English,75,RLP,10,NA,-3.328,2.986,NA,Parker et al. (1995),same as Northern Pikeminnow
-Northern Squawfish,NA,FL,metric,75,RLP,250,NA,-4.886,2.986,NA,Parker et al. (1995),same as Northern Pikeminnow
 Paddlefish,female,BL,English,75,RLP,11,NA,-2.822,2.782,NA,Brown and Murphy (1993),none
 Paddlefish,female,BL,metric,75,RLP,280,NA,-4.073,2.782,NA,Brown and Murphy (1993),none
 Paddlefish,male,BL,English,75,RLP,11,NA,-3.063,2.91,NA,Brown and Murphy (1993),none
 Paddlefish,male,BL,metric,75,RLP,280,NA,-4.494,2.91,NA,Brown and Murphy (1993),none
 Paddlefish,overall,BL,English,75,RLP,11,NA,-3.34,3.092,NA,Brown and Murphy (1993),none
 Paddlefish,overall,BL,metric,75,RLP,280,NA,-5.027,3.092,NA,Brown and Murphy (1993),none
+Paddlefish (female),NA,BL,English,75,RLP,11,NA,-2.822,2.782,NA,Brown and Murphy (1993),none
+Paddlefish (female),NA,BL,metric,75,RLP,280,NA,-4.073,2.782,NA,Brown and Murphy (1993),none
+Paddlefish (male),NA,BL,English,75,RLP,11,NA,-3.063,2.91,NA,Brown and Murphy (1993),none
+Paddlefish (male),NA,BL,metric,75,RLP,280,NA,-4.494,2.91,NA,Brown and Murphy (1993),none
+Paddlefish (overall),NA,BL,English,75,RLP,11,NA,-3.34,3.092,NA,Brown and Murphy (1993),none
+Paddlefish (overall),NA,BL,metric,75,RLP,280,NA,-5.027,3.092,NA,Brown and Murphy (1993),none
 Palmetto Bass,NA,TL,English,75,RLP,4.5,NA,-3.448,3.139,NA,Brown and Murphy (1991b),same as Striped Bass x White Bass
 Palmetto Bass,NA,TL,metric,75,RLP,115,NA,-5.201,3.139,NA,Brown and Murphy (1991b),same as Striped Bass x White Bass
 Pejerrey,NA,TL,English,75,RLP,10,NA,-3.651,3.097,NA,Baigun and Anderson (1993),none
@@ -129,6 +168,10 @@ Rainbow Trout,lentic,TL,English,75,RLP,4.75,NA,-3.354,2.99,NA,Simpkins and Huber
 Rainbow Trout,lentic,TL,metric,75,RLP,120,NA,-4.898,2.99,NA,Simpkins and Hubert (1996),none
 Rainbow Trout,lotic,TL,English,75,RLP,4.75,NA,-3.432,3.024,NA,Simpkins and Hubert (1996),none
 Rainbow Trout,lotic,TL,metric,75,RLP,120,NA,-5.023,3.024,NA,Simpkins and Hubert (1996),none
+Rainbow Trout (lentic),NA,TL,English,75,RLP,4.75,NA,-3.354,2.99,NA,Simpkins and Hubert (1996),none
+Rainbow Trout (lentic),NA,TL,metric,75,RLP,120,NA,-4.898,2.99,NA,Simpkins and Hubert (1996),none
+Rainbow Trout (lotic),NA,TL,English,75,RLP,4.75,NA,-3.432,3.024,NA,Simpkins and Hubert (1996),none
+Rainbow Trout (lotic),NA,TL,metric,75,RLP,120,NA,-5.023,3.024,NA,Simpkins and Hubert (1996),none
 Razorback Sucker,NA,TL,English,75,RLP,4.25,NA,-3.35,2.985,NA,Didenko et al. (2004),none
 Razorback Sucker,NA,TL,metric,75,RLP,110,NA,-4.886,2.985,NA,Didenko et al. (2004),none
 Redbreast Sunfish,NA,TL,English,75,EmP,3,11.75,-3.2727,3.1215,NA,Bonvechio et al. (2023),also used RLP and EmP-quadratic but did not recommend
@@ -166,17 +209,20 @@ Smallmouth Bass,NA,TL,metric,75,RLP,150,NA,-5.329,3.2,NA,Kolander et al. (1993),
 Smallmouth Buffalo,NA,TL,English,75,RLP,8,NA,-3.448,3.208,NA,Bister et al. (2000),none
 Smallmouth Buffalo,NA,TL,metric,75,RLP,200,NA,-5.298,3.208,NA,Bister et al. (2000),none
 South European Roach,NA,TL,metric,75,EmP,60,200,-4.043,1.919,0.315,Giannetto et al. (2016),none
-Spotted Bass,overall,TL,English,75,RLP,4,NA,-3.533,3.215,NA,Wiens et al. (1996),none
-Spotted Bass,overall,TL,metric,75,RLP,100,NA,-5.392,3.215,NA,Wiens et al. (1996),none
-Spotted Bass,Alabama subspecies,TL,metric,75,RLP,100,NA,-5.598,3.2904,NA,Dicenzo et al. (1995),min.len not made clear (assumed same as Spotted Bass); same as Alabama Bass
+Spotted Bass,NA,TL,metric,75,EmP,150,490,-5.3467,3.197,NA,Sammons et al. (2025),also used RLP and EmP-quadratic but did not recommend
+Spotted Bass,NA,TL,English,75,EmP,6,19.25,-3.3641,3.064,NA,Sammons et al. (2025),also used RLP and EmP-quadratic but did not recommend
+Spotted Bass (original),NA,TL,English,75,RLP,4,NA,-3.533,3.215,NA,Wiens et al. (1996),HAS BEEN REVISED
+Spotted Bass (original),NA,TL,metric,75,RLP,100,NA,-5.392,3.215,NA,Wiens et al. (1996),HAS BEEN REVISED
 Spotted Gar,NA,TL,English,75,RLP,10,NA,-4.388,3.431,NA,Bister et al. (2000),none
 Spotted Gar,NA,TL,metric,75,RLP,250,NA,-6.551,3.431,NA,Bister et al. (2000),none
 Spotted Sunfish,NA,TL,English,75,EmP,2.75,8,-3.3468,3.3343,NA,Bonvechio et al. (2023),also used RLP and EmP-quadratic but did not recommend
 Spotted Sunfish,NA,TL,metric,75,EmP,70,200,-5.3739,3.3343,NA,Bonvechio et al. (2023),also used RLP and EmP-quadratic but did not recommend
 Striped Bass,NA,TL,English,75,RLP,6,NA,-3.358,3.007,NA,Brown and Murphy (1991b),none
 Striped Bass,NA,TL,metric,75,RLP,150,NA,-4.924,3.007,NA,Brown and Murphy (1991b),none
-Striped Bass X White Bass,NA,TL,English,75,RLP,4.5,NA,-3.448,3.139,NA,Brown and Murphy (1991b),same as Palmetto Bass and Striped Bass (Hybrid)
-Striped Bass X White Bass,NA,TL,metric,75,RLP,115,NA,-5.201,3.139,NA,Brown and Murphy (1991b),same as Palmetto Bass and Striped Bass (Hybrid)
+Striped Bass (landlocked),NA,TL,English,75,RLP,6,NA,-3.358,3.007,NA,Brown and Murphy (1991b),Not clear just landlocked; added to simplify use with PSDlit
+Striped Bass (landlocked),NA,TL,metric,75,RLP,150,NA,-4.924,3.007,NA,Brown and Murphy (1991b),Not clear just landlocked; added to simplify use with PSDlit
+Striped Bass X White Bass,NA,TL,English,75,RLP,4.5,NA,-3.448,3.139,NA,Brown and Murphy (1991b),same as Palmetto Bass
+Striped Bass X White Bass,NA,TL,metric,75,RLP,115,NA,-5.201,3.139,NA,Brown and Murphy (1991b),same as Palmetto Bass
 Suwannee Bass,NA,TL,metric,75,EmP,110,NA,-0.106,-1.363,0.995,Bonvechio et al. (2010),none
 Tiger Muskellunge,NA,TL,English,75,RLP,9.5,NA,-4.095,3.337,NA,Rogers and Koupal (1997),none
 Tiger Muskellunge,NA,TL,metric,75,RLP,240,NA,-6.126,3.337,NA,Rogers and Koupal (1997),none
@@ -186,6 +232,10 @@ Walleye,overall,TL,English,75,RLP,6,NA,-3.642,3.18,NA,Murphy et al. (1990),none
 Walleye,overall,TL,metric,75,RLP,150,NA,-5.453,3.18,NA,Murphy et al. (1990),none
 Walleye,30-149 mm,TL,English,75,RLP,1.25,6,-3.431,2.869,NA,Flammang et al. (1999),none
 Walleye,30-149 mm,TL,metric,75,RLP,30,149,-4.804,2.869,NA,Flammang et al. (1999),none
+Walleye (overall),NA,TL,English,75,RLP,6,NA,-3.642,3.18,NA,Murphy et al. (1990),none
+Walleye (overall),NA,TL,metric,75,RLP,150,NA,-5.453,3.18,NA,Murphy et al. (1990),none
+Walleye (30-149 mm),NA,TL,English,75,RLP,1.25,6,-3.431,2.869,NA,Flammang et al. (1999),none
+Walleye (30-149 mm),NA,TL,metric,75,RLP,30,149,-4.804,2.869,NA,Flammang et al. (1999),none
 Warmouth,NA,TL,English,75,RLP,3,NA,-3.284,3.241,NA,Bister et al. (2000),none
 Warmouth,NA,TL,metric,75,RLP,80,NA,-5.18,3.241,NA,Bister et al. (2000),none
 White Bass,NA,TL,English,75,RLP,4.5,NA,-3.394,3.081,NA,Brown and Murphy (1991b),none
diff --git a/data-raw/aaa_Make_Fake_PSDWR_Data.R b/data-raw/aaa_Make_Fake_PSDWR_Data.R
new file mode 100644
index 00000000..d31ce5da
--- /dev/null
+++ b/data-raw/aaa_Make_Fake_PSDWR_Data.R
@@ -0,0 +1,136 @@
+## Creates weight-length data for a variety of species (some with sub-groups) to
+##   be used as examples in PSD and Wr calculations. Running the script will produce
+##   a data.frame called PSDWRtest that is distributed with FSA.
+set.seed(633437)
+
+bgdf <- data.frame(species="Bluegill Sunfish",
+                   location="Bass Lake",
+                   len=round(c(rnorm(30,mean=100,sd=15),
+                               rnorm(70,mean=150,sd=25),
+                               rnorm(20,mean=200,sd=25)),0)) |>
+  dplyr::mutate(wt=10^(-5.37)*len^3.316,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=NA_character_)
+
+bktdf <- data.frame(species="Brook Trout",
+                    location="Trout Lake",
+                    len=round(c(rnorm(20,mean=175,sd=25),
+                                rnorm(50,mean=255,sd=25),
+                                rnorm(10,mean=310,sd=25)),0)) |>
+  dplyr::mutate(wt=10^(-5.18)*len^3.1,
+                wt=round(wt+rnorm(dplyr::n(),wt*0.10),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=sample(c("F","M"),dplyr::n(),replace=TRUE),
+                sex=NA_character_)
+
+brt1df <- data.frame(species="Brown Trout",
+                     location="Trout Lake",
+                     len=round(c(rnorm(20,mean=150,sd=20),
+                                 rnorm(50,mean=230,sd=25),
+                                 rnorm(10,mean=325,sd=25)),0)) |>
+  dplyr::mutate(wt=1.4e-05*len^2.96,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=sample(c("F","M"),dplyr::n(),replace=TRUE),
+                sex=NA_character_)
+
+brt2df <- data.frame(species="Brown Trout",
+                     location="Brushy Creek",
+                     len=round(c(rnorm(24,mean=200,sd=20),
+                                 rnorm(60,mean=325,sd=25),
+                                 rnorm(15,mean=450,sd=25)),0)) |>
+  dplyr::mutate(wt=3.65e-06*len^3.1,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=sample(c("F","M"),dplyr::n(),replace=TRUE))
+
+iaddf <- FSAdata::InchLake2 |>
+  dplyr::filter(species=="Iowa Darter") |>
+  dplyr::mutate(species=="Iowa Darter",
+                location="Bass Lake",
+                sex=NA_character_,
+                len=round(length*25.4,0),
+                wt=NA) |>
+  dplyr::select(species,location,len,wt=weight,sex)
+
+lmbdf <- data.frame(species="Largemouth Bass",
+                    location="Bass Lake",
+                    len=round(c(rnorm(30,mean=200,sd=15),
+                                rnorm(40,mean=300,sd=25),
+                                rnorm(20,mean=350,sd=25)),0)) |>
+  dplyr::mutate(wt=10^(-5.5)*len^3.2,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=NA_character_)
+
+lktdf <- data.frame(species="Lean Lake Trout",
+                    location="Trout Lake",
+                    len=round(c(rnorm(10,mean=300,sd=40),
+                                rnorm(60,mean=500,sd=50),
+                                rnorm(30,mean=750,sd=50)),0)) |>
+  dplyr::mutate(wt=10^(-5.7)*len^3.246,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=sample(c("F","M"),dplyr::n(),replace=TRUE))
+
+muedf <- data.frame(species="Muskellunge",
+                    location="Long Lake",
+                    len=round(c(rnorm(10,mean=600,sd=60),
+                                rnorm(25,mean=800,sd=70),
+                                rnorm(10,mean=1000,sd=60)),0)) |>
+  dplyr::mutate(wt=10^(-6.0)*len^3.32,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=sample(c("F","M","U"),dplyr::n(),c(0.4,0.4,0.2),replace=TRUE))
+
+rufdf <- data.frame(species="Ruffe",
+                    location="Round Lake",
+                    len=round(c(rnorm(10,mean=70,sd=40),
+                                rnorm(20,mean=120,sd=20),
+                                rnorm(10,mean=160,sd=20)),0)) |>
+  dplyr::mutate(wt=3.03e-06*len^3.26,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=NA_character_)
+
+waedf1 <- data.frame(species="Walleye",
+                     location="Bass Lake",
+                     len=round(rnorm(50,mean=100,sd=25),0)) |>
+  dplyr::filter(len<150) |>
+  dplyr::mutate(wt=10^(-4.8)*len^2.87,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.05),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=NA_character_)
+
+waedf2 <- data.frame(species="Walleye",
+                     location="Bass Lake",
+                     len=round(c(rnorm(20,mean=250,sd=25),
+                                 rnorm(60,mean=425,sd=40),
+                                 rnorm(30,mean=600,sd=40)),0)) |>
+  dplyr::filter(len>=150) |>
+  dplyr::mutate(wt=10^(-5.45)*len^3.18,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.1),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=sample(c("F","M"),dplyr::n(),replace=TRUE),
+                sex=ifelse(len<300,NA,sex))
+
+yepdf <- data.frame(species="Yellow Perch",
+                    location="Bass Lake",
+                    len=round(c(rnorm(100,mean=150,sd=25),
+                                rnorm(50,mean=250,sd=25),
+                                rnorm(20,mean=300,sd=25)),0)) |>
+  dplyr::mutate(wt=10^(-5.38)*len^3.23,
+                wt=round(wt+rnorm(dplyr::n(),0,wt*0.10),1),
+                wt=ifelse(wt<=0,min(wt[wt>0]),wt),
+                sex=sample(c("F","M"),dplyr::n(),replace=TRUE),
+                sex=ifelse(len<100,NA,sex))
+
+## Combine
+PSDWRtest <- rbind(bgdf,bktdf,brt1df,brt2df,iaddf,lmbdf,lktdf,muedf,rufdf,waedf1,waedf2,yepdf)
+
+## Add some (~5%) random NAs to wt
+PSDWRtest$wt[sample(nrow(PSDWRtest),round(0.05*nrow(PSDWRtest),0))] <- NA_real_
+
+## Write out to Rdata file
+usethis::use_data(PSDWRtest,internal=FALSE,overwrite=TRUE)
diff --git a/data/PSDWRtest.rda b/data/PSDWRtest.rda
new file mode 100644
index 00000000..88275b78
Binary files /dev/null and b/data/PSDWRtest.rda differ
diff --git a/data/PSDlit.rdata b/data/PSDlit.rdata
index 2f3712b5..4ffaa7a2 100644
Binary files a/data/PSDlit.rdata and b/data/PSDlit.rdata differ
diff --git a/data/WSlit.rdata b/data/WSlit.rdata
index 5794798e..733a0e2e 100644
Binary files a/data/WSlit.rdata and b/data/WSlit.rdata differ
diff --git a/docs/LICENSE-text.html b/docs/LICENSE-text.html
index dac18f7d..907da808 100644
--- a/docs/LICENSE-text.html
+++ b/docs/LICENSE-text.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -390,7 +390,7 @@
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/authors.html b/docs/authors.html
index 187c5176..ca053f5b 100644
--- a/docs/authors.html
+++ b/docs/authors.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -65,15 +65,15 @@ <h2>Authors</h2>
       <h2 id="citation">Citation</h2>
       <p><small class="dont-index">Source: <a href="https://github.com/fishR-Core-Team/FSA/blob/HEAD/inst/CITATION" class="external-link"><code>inst/CITATION</code></a></small></p>
 
-      <p>Ogle DH, Doll JC, Wheeler AP, Dinno A (2025).
+      <p>Ogle DH, Doll JC, Wheeler AP, Dinno A (2026).
 <em>FSA: Simple Fisheries Stock Assessment Methods</em>.
-R package version 0.10.0, <a href="https://fishr-core-team.github.io/FSA/">https://fishr-core-team.github.io/FSA/</a>.
+R package version 0.10.1, <a href="https://fishr-core-team.github.io/FSA/">https://fishr-core-team.github.io/FSA/</a>.
 </p>
       <pre>@Manual{,
   title = {FSA: Simple Fisheries Stock Assessment Methods},
   author = {Derek H. Ogle and Jason C. Doll and A. Powell Wheeler and Alexis Dinno},
-  year = {2025},
-  note = {R package version 0.10.0},
+  year = {2026},
+  note = {R package version 0.10.1},
   url = {https://fishr-core-team.github.io/FSA/},
 }</pre>
     </div>
@@ -87,7 +87,7 @@ <h2 id="citation">Citation</h2>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/index.html b/docs/index.html
index 83246986..4aac4d3e 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -28,7 +28,7 @@
 
     <a class="navbar-brand me-2" href="index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -154,7 +154,7 @@ <h2 data-toc-skip>Developers</h2>
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer>
diff --git a/docs/news/index.html b/docs/news/index.html
index 9a229026..ba0771fe 100644
--- a/docs/news/index.html
+++ b/docs/news/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -42,7 +42,29 @@
     </div>
 
     <div class="section level2">
-<h2 class="pkg-version" data-toc-text="0.10.0" id="fsa-0100">FSA 0.10.0<a class="anchor" aria-label="anchor" href="#fsa-0100"></a></h2>
+<h2 class="pkg-version" data-toc-text="0.10.1" id="fsa-0101">FSA 0.10.1<a class="anchor" aria-label="anchor" href="#fsa-0101"></a></h2>
+<ul><li>Updated the PSD and Relative Weight computation articles to reflect the changes to <code><a href="../reference/psdVal.html">psdVal()</a></code>, <code><a href="../reference/psdAdd.html">psdAdd()</a></code>, <code><a href="../reference/wsVal.html">wsVal()</a></code>, and <code><a href="../reference/wrAdd.html">wrAdd()</a></code>.</li>
+<li>
+<code><a href="../reference/chapmanRobson.html">chapmanRobson()</a></code>: Added catch for when n+T&lt;1 and n+T&lt;2. This addresses <a href="https://github.com/fishR-Core-Team/FSA/issues/131" class="external-link">#131</a>).</li>
+<li>
+<code><a href="../reference/metaM.html">metaM()</a></code>: Added <code>method="HamelCope"</code> to address <a href="https://github.com/fishR-Core-Team/FSA/issues/133" class="external-link">#133</a>. A few minor edits to documentation.</li>
+<li>
+<code><a href="../reference/psdAdd.html">psdAdd()</a></code>: Addressed bugs as described in <a href="https://github.com/fishR-Core-Team/FSA/issues/136" class="external-link">#136</a>) and <a href="https://github.com/fishR-Core-Team/FSA/issues/137" class="external-link">#137</a>. Added <code>thesaurus</code> functionality. Reworked examples in documentation. Reworked testing framework. Thanks to Dave Glover.</li>
+<li>
+<code>PSDlit</code>: Added info for Flier and Longear Sunfish to address <a href="https://github.com/fishR-Core-Team/FSA/issues/122" class="external-link">#122</a>) and Northern Pikeminnow. Also updated information for Alabama Bass and Spotted Bass. Duplicated lines that combine <code>species</code> and <code>group</code> to partially address <a href="https://github.com/fishR-Core-Team/FSA/issues/137" class="external-link">#137</a>.</li>
+<li>
+<code><a href="../reference/psdVal.html">psdVal()</a></code>: Added <code>dat=</code> to allow more flexibility when called from <code><a href="../reference/psdAdd.html">psdAdd()</a></code>.</li>
+<li>
+<code>PSDWRTest</code>: Added for testing PSD and relative weight functions.</li>
+<li>
+<code><a href="../reference/wrAdd.html">wrAdd()</a></code>: Addressed bugs similar to those for <code><a href="../reference/psdAdd.html">psdAdd()</a></code>. Added <code>thesaurus</code> functionality. Reworked examples in documentation. Reworked testing framework (especially expanded validation of results with hand-calculations).</li>
+<li>
+<code>wSlit</code>: Added info for Flier and Longear Sunfish to address <a href="https://github.com/fishR-Core-Team/FSA/issues/122" class="external-link">#122</a>). Also updated information for Alabama Bass (further removed Spotted Bass (Alabama subspecies)), Spotted Bass, and Northern Pikeminnow (further removed Northern Squawfish (synonym of Northern Pikeminnow that is no longer used)). Duplicated lines that combine <code>species</code> and <code>group</code> to partially address <a href="https://github.com/fishR-Core-Team/FSA/issues/137" class="external-link">#137</a>.</li>
+<li>
+<code><a href="../reference/wsVal.html">wsVal()</a></code>: Added <code>dat=</code> to allow more flexibility when called from <code><a href="../reference/wrAdd.html">wrAdd()</a></code>.</li>
+</ul></div>
+    <div class="section level2">
+<h2 class="pkg-version" data-toc-text="0.10.0" id="fsa-0100">FSA 0.10.0<a class="anchor" aria-label="anchor" href="#fsa-0100"></a></h2><p class="text-muted">CRAN release: 2025-05-06</p>
 <ul><li><p>Updated <code>test-coverage.yaml</code> and moved a <code># nocov start</code> and <code># nocov end</code> in <code>bootstrap.r</code> to address the errors with <code>test-coverage.yaml</code>. Addresses <a href="https://github.com/fishR-Core-Team/FSA/issues/118" class="external-link">#118</a>.</p></li>
 <li><p>Removed <code>DescTools</code>, <code>plyr</code>, <code>psych</code> from Suggests (and all their uses in tests and linked code in documentation). Removed <code>ggplot2</code>, <code>marked</code>, <code>rcapture</code>, and <code>tibble</code> from Suggests (and use in examples was put in a <code>\dontrun()</code>).</p></li>
 <li><p>Added <code>FlexParamCurve</code> to Imports for use of <code>modpar()</code> in <code>findGrowthStarts(param="Richards")</code> and <code>purrr</code> for use of <code>map2_chr()</code> in <code><a href="../reference/showGrowthFun.html">showGrowthFun()</a></code>.</p></li>
@@ -298,7 +320,7 @@ <h2 class="pkg-version" data-toc-text="0.9.0" id="fsa-090">FSA 0.9.0<a class="an
 <h2 class="pkg-version" data-toc-text="0.8.32" id="fsa-0832">FSA 0.8.32<a class="anchor" aria-label="anchor" href="#fsa-0832"></a></h2><p class="text-muted">CRAN release: 2021-01-15</p>
 <ul><li>Removed Travis-CI and appveyor.</li>
 <li>No longer using coveralls for coverage statistics. Changed to codecov.io.</li>
-<li>Added GitHub Action for CI/CD (used <code><a href="https://usethis.r-lib.org/reference/use_github_actions.html" class="external-link">usethis::use_github_action_check_standard()</a></code>).</li>
+<li>Added GitHub Action for CI/CD (used <code>usethis::use_github_action_check_standard()</code>).</li>
 <li>Added GitHub Action for pkgdown (used <code>usethis::use_github_action("pkgdown")</code>).</li>
 <li>Added GitHub Action for code coverage with codecov.io.</li>
 <li>Added a code of conduct for contributors.</li>
@@ -1936,7 +1958,7 @@ <h2 class="pkg-version" data-toc-text="0.4.26" id="fsa-0426">FSA 0.4.26<a class=
 <li>
 <code><a href="../reference/tictactoe.html">tictactoe()</a></code>: Modfied.</li>
 <li>
-<code>tictactoeAdd()</code>: Removed. Directed user to use <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI()</a></code> from <code>plotrix</code> instead.</li>
+<code>tictactoeAdd()</code>: Removed. Directed user to use <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI()</a></code> from <code>plotrix</code> instead.</li>
 </ul></div>
     <div class="section level2">
 <h2 class="pkg-version" data-toc-text="0.4.25" id="fsa-0425">FSA 0.4.25<a class="anchor" aria-label="anchor" href="#fsa-0425"></a></h2>
@@ -2107,7 +2129,7 @@ <h2 class="pkg-version" data-toc-text="0.4.16" id="fsa-0416">FSA 0.4.16<a class=
 <li>
 <code>lwPredsComp()</code>: Modified. Changed <code>mdl=</code> to <code>object=</code>. Added use of internal <code><a href="../reference/FSA-internals.html">iHndlFormula()</a></code> and moved two internal functions outside the main function. Changed default for intervals from <code>both</code> to <code>confidence</code> and changed so that if only the confidence or prediction intervals are plotted they will be black with <code>lwd=</code> width (if both are plotted the CI is now black and the PI is now blue). Added a <code>show.preds</code> argument. Changed <code>connect.means=</code> to <code>connect.preds=</code>. Changed default <code>lwd=</code> value and how it is used for CIs, PIs, and the connection lines. Added <code>col.connect=</code> argument. Removed <code>mar</code> and <code>mgp</code> from <code><a href="https://rdrr.io/r/graphics/par.html" class="external-link">par()</a></code> call (left <code>mfrow</code>). Added more examples. Added tests for error messages.</li>
 <li>
-<code><a href="../reference/FSA-defunct.html">residPlot()</a></code>: Modified. Added <code>inclHist=</code> argument. Corrected a bug around the use of <code><a href="https://rdrr.io/pkg/plotrix/man/thigmophobe.html" class="external-link">thigmophobe()</a></code> in <code>iAddOutlierTest()</code>. Changed default for <code>student=</code> to <code>FALSE</code>. Modified and added more examples.</li>
+<code><a href="../reference/FSA-defunct.html">residPlot()</a></code>: Modified. Added <code>inclHist=</code> argument. Corrected a bug around the use of <code><a href="https://plotrix.github.io/plotrix/reference/thigmophobe.html" class="external-link">thigmophobe()</a></code> in <code>iAddOutlierTest()</code>. Changed default for <code>student=</code> to <code>FALSE</code>. Modified and added more examples.</li>
 <li>
 <code>SMBassWB</code>: Modified. Added a seealso.</li>
 </ul></div>
@@ -2359,7 +2381,7 @@ <h2 class="pkg-version" data-toc-text="0.4.7" id="fsa-047">FSA 0.4.7<a class="an
 <h2 class="pkg-version" data-toc-text="0.4.6" id="fsa-046">FSA 0.4.6<a class="anchor" aria-label="anchor" href="#fsa-046"></a></h2>
 <ul><li><p><strong>Date:</strong> Apr14</p></li>
 <li><p>Changed to compiling under R 3.1.0</p></li>
-<li><p>Imported <code><a href="https://rdrr.io/pkg/plotrix/man/stackpoly.html" class="external-link">stackpoly()</a></code> from plotrix for use in <code>ageKeyPlot()</code>.</p></li>
+<li><p>Imported <code><a href="https://plotrix.github.io/plotrix/reference/stackpoly.html" class="external-link">stackpoly()</a></code> from plotrix for use in <code>ageKeyPlot()</code>.</p></li>
 <li><p>Added concepts (that largely match those in the FSAdata pacakge) to most of the data files.</p></li>
 <li><p>Made some grammatical changes and added author sections to Rd files.</p></li>
 <li><p><code>ageKeyPlot()</code>: Added.</p></li>
@@ -2520,7 +2542,7 @@ <h2 class="pkg-version" data-toc-text="0.4.1" id="fsa-041">FSA 0.4.1<a class="an
 <li><p><code>dietOverlap()</code>: Modified. Changed the “Morista” option to “Morisita” to be consistent with the correct spelling of the name.</p></li>
 <li><p><code>Garvey1</code>: Added. Used in examples in <code>ks2d1()</code>.</p></li>
 <li><p><code>Garvey4a</code>: Added. Used in examples in <code>ks2d1()</code>.</p></li>
-<li><p><code><a href="https://rdrr.io/pkg/plotrix/man/histStack.html" class="external-link">histStack()</a></code>: Deleted, moved to plotrix package. Arguments were changed there.</p></li>
+<li><p><code><a href="https://plotrix.github.io/plotrix/reference/histStack.html" class="external-link">histStack()</a></code>: Deleted, moved to plotrix package. Arguments were changed there.</p></li>
 <li><p><code>ks2d()</code>: Deleted, changed to <code>ks2d2()</code>.</p></li>
 <li><p><code>ks2d1()</code>: Added.</p></li>
 <li><p><code>ks2d2()</code>: Added, was <code>ks2d()</code>.</p></li>
@@ -2528,7 +2550,7 @@ <h2 class="pkg-version" data-toc-text="0.4.1" id="fsa-041">FSA 0.4.1<a class="an
 <li><p><code>ks2d2p()</code>: Added, was <code>ks2dp()</code>.</p></li>
 <li><p><code><a href="../reference/mrClosed.html">mrClosed()</a></code>: Modified. Changed all “messages” using <code><a href="https://rdrr.io/r/base/cat.html" class="external-link">cat()</a></code> to using <code><a href="https://rdrr.io/r/base/message.html" class="external-link">message()</a></code> so that they can be suppressed with <code>suppressMessage()</code> or <code>message=FALSE</code> in knitr. See “One comment on messages” at <a href="http://yihui.name/knitr/demo/output/" class="external-link uri">http://yihui.name/knitr/demo/output/</a>.</p></li>
 <li><p><code>pkolgomorov1x()</code>: Added to FSAinternals (from <code>ks2d()</code>).</p></li>
-<li><p><code><a href="https://rdrr.io/pkg/plotrix/man/plotH.html" class="external-link">plotH()</a></code>: Deleted, moved to plotrix package.</p></li>
+<li><p><code><a href="https://plotrix.github.io/plotrix/reference/plotH.html" class="external-link">plotH()</a></code>: Deleted, moved to plotrix package.</p></li>
 <li><p><code>quad_dens()</code>: Added to FSAinternals (from <code>ks2d()</code>).</p></li>
 </ul></div>
     <div class="section level2">
@@ -2550,7 +2572,7 @@ <h2 class="pkg-version" data-toc-text="0.4.0" id="fsa-040">FSA 0.4.0<a class="an
 <li><p><code><a href="../reference/chapmanRobson.html">chapmanRobson()</a></code>: Modified by adding the Hoenig et al. (1983) bias correction formula for the estimate of Z as the default option.</p></li>
 <li><p><code><a href="../reference/nlsBoot.html">confint.nlsBoot()</a></code>: Removed use of %nin%.</p></li>
 <li><p><code>discharge()</code>: Deleted, moved to NCStats (to reduce overhead here).</p></li>
-<li><p><code><a href="https://rdrr.io/pkg/plotrix/man/histStack.html" class="external-link">histStack()</a></code>: Modified by adding a formula method (<code>histStack.formula()</code>) which required adding a default method (<code>histStack.default()</code>).</p></li>
+<li><p><code><a href="https://plotrix.github.io/plotrix/reference/histStack.html" class="external-link">histStack()</a></code>: Modified by adding a formula method (<code>histStack.formula()</code>) which required adding a default method (<code>histStack.default()</code>).</p></li>
 <li><p><code><a href="../reference/nlsBoot.html">htest.nlsBoot()</a></code>: Removed use of %nin%.</p></li>
 <li><p><code><a href="../reference/lencat.html">lencat()</a></code>: Modified by changing to using a formula notation and a <code>data=</code> argument. This means that the <code>df=</code> and <code>cl=</code> arguments are no longer used. In addition, the warning about fish larger than the larger category has been turned off. The method to handle this was not changed, the warning was just turned off.</p></li>
 <li><p><code>lencatOLD()</code>: Added as an internal file to temporarily allow me not to change all functions that were affected by the changes to <code><a href="../reference/lencat.html">lencat()</a></code>. The functions that required this are <code>emp()</code> and <code>wsValidate()</code>.</p></li>
@@ -2694,7 +2716,7 @@ <h2 class="pkg-version" data-toc-text="0.3.1" id="fsa-031">FSA 0.3.1<a class="an
 <li><p><code>emp()</code>: modified class names to “empXX” from “EMPxx”.</p></li>
 <li><p><code><a href="../reference/FSA-defunct.html">fitPlot()</a></code>: added from NCStats.</p></li>
 <li><p><code>FroeseWs()</code>: modified class name to “FroeseWs” from “FROESE”.</p></li>
-<li><p><code><a href="https://rdrr.io/pkg/plotrix/man/histStack.html" class="external-link">histStack()</a></code>: added.</p></li>
+<li><p><code><a href="https://plotrix.github.io/plotrix/reference/histStack.html" class="external-link">histStack()</a></code>: added.</p></li>
 <li><p><code><a href="../reference/FSA-defunct.html">hoCoef()</a></code>: added from NCStats.</p></li>
 <li><p><code>ks2d()</code>: modified class name to “ks2d” from “ks2d”.</p></li>
 <li><p><code>ks2dp()</code>: modified class name to “ks2dp” from “ks2dp”.</p></li>
@@ -2702,7 +2724,7 @@ <h2 class="pkg-version" data-toc-text="0.3.1" id="fsa-031">FSA 0.3.1<a class="an
 <li><p><code><a href="../reference/mrClosed.html">mrClosed()</a></code>: modified by moving the two internal functions – mrc1() and mrc2() – to inside mrClosed, moving the two internal functions – ci.mrc1() and ci.mrc2() – to inside confint.mrClosed(), removed the “MRC1” and “MRC2” classes, changed the “MRC” class name to “mrClosed”, and added a catch to plot.mrClosed() to stop if the user tries to plot with single-census data.</p></li>
 <li><p><code><a href="../reference/mrOpen.html">mrOpen()</a></code>: modified class name to “mrOpen” from “MRO”.</p></li>
 <li><p><code><a href="../reference/FSA-defunct.html">plotBinResp()</a></code>: added from NCStats.</p></li>
-<li><p><code><a href="https://rdrr.io/pkg/plotrix/man/plotH.html" class="external-link">plotH()</a></code>: minor modifications to the Rd file.</p></li>
+<li><p><code><a href="https://plotrix.github.io/plotrix/reference/plotH.html" class="external-link">plotH()</a></code>: minor modifications to the Rd file.</p></li>
 <li><p><code>pos2adj()</code>: modified the labels for the positions by including full names for all directions, eliminating the single letters for the four main directions, but also leaving the four “off” directions as abbreviations.</p></li>
 <li><p><code>psdVal(), rsdVal(), rsdCalc(), rsdPlot()</code>: modified to use capFirst so that the user does not need to focus on capitalization of the species name.</p></li>
 <li><p><code><a href="../reference/removal.html">removal()</a></code>: modified class name to “removal” from “Removal”.</p></li>
@@ -2736,7 +2758,7 @@ <h2 class="pkg-version" data-toc-text="0.3-0" id="fsa-03-0">FSA 0.3-0<a class="a
 <li><p><code><a href="../reference/lagratio.html">lagratio()</a></code>: moved from NCStats.</p></li>
 <li><p>`lsmean(), and related internals: moved from NCStats.</p></li>
 <li><p><code><a href="../reference/mrClosed.html">mrClosed()</a></code>: modified so as not to depend on ci.t() from NCStats.</p></li>
-<li><p><code><a href="https://rdrr.io/pkg/plotrix/man/plotH.html" class="external-link">plotH()</a></code>: moved from NCStats.</p></li>
+<li><p><code><a href="https://plotrix.github.io/plotrix/reference/plotH.html" class="external-link">plotH()</a></code>: moved from NCStats.</p></li>
 <li><p><code><a href="../reference/poiCI.html">poiCI()</a></code>: moved from NCStats.</p></li>
 <li><p><code>popSizesPlot()</code>: moved from NCStats.</p></li>
 <li><p><code>pos2adj()</code>: moved from NCStats.</p></li>
@@ -3223,7 +3245,7 @@ <h2 class="pkg-version" data-toc-text="0.0-6" id="fsa-00-6">FSA 0.0-6<a class="a
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/pkgdown.js b/docs/pkgdown.js
index 1a99c65f..0a5573ae 100644
--- a/docs/pkgdown.js
+++ b/docs/pkgdown.js
@@ -1,6 +1,6 @@
 /* http://gregfranko.com/blog/jquery-best-practices/ */
-(function($) {
-  $(function() {
+(function ($) {
+  $(function () {
 
     $('nav.navbar').headroom();
 
@@ -27,45 +27,45 @@
 
     $('[data-bs-toggle="tooltip"]').tooltip();
 
-  /* Clipboard --------------------------*/
+    /* Clipboard --------------------------*/
 
-  function changeTooltipMessage(element, msg) {
-    var tooltipOriginalTitle=element.getAttribute('data-bs-original-title');
-    element.setAttribute('data-bs-original-title', msg);
-    $(element).tooltip('show');
-    element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
-  }
+    function changeTooltipMessage(element, msg) {
+      var tooltipOriginalTitle = element.getAttribute('data-bs-original-title');
+      element.setAttribute('data-bs-original-title', msg);
+      $(element).tooltip('show');
+      element.setAttribute('data-bs-original-title', tooltipOriginalTitle);
+    }
 
-  if(ClipboardJS.isSupported()) {
-    $(document).ready(function() {
-      var copyButton = "<button type='button' class='btn btn-primary btn-copy-ex' title='Copy to clipboard' aria-label='Copy to clipboard' data-toggle='tooltip' data-placement='left' data-trigger='hover' data-clipboard-copy><i class='fa fa-copy'></i></button>";
+    if (ClipboardJS.isSupported()) {
+      $(document).ready(function () {
+        var copyButton = "<button type='button' class='btn btn-primary btn-copy-ex' title='Copy to clipboard' aria-label='Copy to clipboard' data-toggle='tooltip' data-placement='left' data-trigger='hover' data-clipboard-copy><i class='fa fa-copy'></i></button>";
 
-      $("div.sourceCode").addClass("hasCopyButton");
+        $("div.sourceCode").addClass("hasCopyButton");
 
-      // Insert copy buttons:
-      $(copyButton).prependTo(".hasCopyButton");
+        // Insert copy buttons:
+        $(copyButton).prependTo(".hasCopyButton");
 
-      // Initialize tooltips:
-      $('.btn-copy-ex').tooltip({container: 'body'});
+        // Initialize tooltips:
+        $('.btn-copy-ex').tooltip({ container: 'body' });
 
-      // Initialize clipboard:
-      var clipboard = new ClipboardJS('[data-clipboard-copy]', {
-        text: function(trigger) {
-          return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, "");
-        }
-      });
+        // Initialize clipboard:
+        var clipboard = new ClipboardJS('[data-clipboard-copy]', {
+          text: function (trigger) {
+            return trigger.parentNode.textContent.replace(/\n#>[^\n]*/g, "");
+          }
+        });
 
-      clipboard.on('success', function(e) {
-        changeTooltipMessage(e.trigger, 'Copied!');
-        e.clearSelection();
-      });
+        clipboard.on('success', function (e) {
+          changeTooltipMessage(e.trigger, 'Copied!');
+          e.clearSelection();
+        });
 
-      clipboard.on('error', function(e) {
-        changeTooltipMessage(e.trigger,'Press Ctrl+C or Command+C to copy');
-      });
+        clipboard.on('error', function (e) {
+          changeTooltipMessage(e.trigger, 'Press Ctrl+C or Command+C to copy');
+        });
 
-    });
-  }
+      });
+    }
 
     /* Search marking --------------------------*/
     var url = new URL(window.location.href);
@@ -80,80 +80,80 @@
       });
     }
 
-  /* Search --------------------------*/
-  /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */
+    /* Search --------------------------*/
+    /* Adapted from https://github.com/rstudio/bookdown/blob/2d692ba4b61f1e466c92e78fd712b0ab08c11d31/inst/resources/bs4_book/bs4_book.js#L25 */
     // Initialise search index on focus
-  var fuse;
-  $("#search-input").focus(async function(e) {
-    if (fuse) {
-      return;
-    }
-
-    $(e.target).addClass("loading");
-    var response = await fetch($("#search-input").data("search-index"));
-    var data = await response.json();
+    var fuse;
+    $("#search-input").focus(async function (e) {
+      if (fuse) {
+        return;
+      }
+
+      $(e.target).addClass("loading");
+      var response = await fetch($("#search-input").data("search-index"));
+      var data = await response.json();
+
+      var options = {
+        keys: ["what", "text", "code"],
+        ignoreLocation: true,
+        threshold: 0.1,
+        includeMatches: true,
+        includeScore: true,
+      };
+      fuse = new Fuse(data, options);
+
+      $(e.target).removeClass("loading");
+    });
 
+    // Use algolia autocomplete
     var options = {
-      keys: ["what", "text", "code"],
-      ignoreLocation: true,
-      threshold: 0.1,
-      includeMatches: true,
-      includeScore: true,
+      autoselect: true,
+      debug: true,
+      hint: false,
+      minLength: 2,
     };
-    fuse = new Fuse(data, options);
-
-    $(e.target).removeClass("loading");
-  });
-
-  // Use algolia autocomplete
-  var options = {
-    autoselect: true,
-    debug: true,
-    hint: false,
-    minLength: 2,
-  };
-  var q;
-async function searchFuse(query, callback) {
-  await fuse;
-
-  var items;
-  if (!fuse) {
-    items = [];
-  } else {
-    q = query;
-    var results = fuse.search(query, { limit: 20 });
-    items = results
-      .filter((x) => x.score <= 0.75)
-      .map((x) => x.item);
-    if (items.length === 0) {
-      items = [{dir:"Sorry 😿",previous_headings:"",title:"No results found.",what:"No results found.",path:window.location.href}];
+    var q;
+    async function searchFuse(query, callback) {
+      await fuse;
+
+      var items;
+      if (!fuse) {
+        items = [];
+      } else {
+        q = query;
+        var results = fuse.search(query, { limit: 20 });
+        items = results
+          .filter((x) => x.score <= 0.75)
+          .map((x) => x.item);
+        if (items.length === 0) {
+          items = [{ dir: "Sorry 😿", previous_headings: "", title: "No results found.", what: "No results found.", path: window.location.href }];
+        }
+      }
+      callback(items);
     }
-  }
-  callback(items);
-}
-  $("#search-input").autocomplete(options, [
-    {
-      name: "content",
-      source: searchFuse,
-      templates: {
-        suggestion: (s) => {
-          if (s.title == s.what) {
-            return `${s.dir} >	<div class="search-details"> ${s.title}</div>`;
-          } else if (s.previous_headings == "") {
-            return `${s.dir} >	<div class="search-details"> ${s.title}</div> > ${s.what}`;
-          } else {
-            return `${s.dir} >	<div class="search-details"> ${s.title}</div> > ${s.previous_headings} > ${s.what}`;
-          }
+    $("#search-input").autocomplete(options, [
+      {
+        name: "content",
+        source: searchFuse,
+        templates: {
+          suggestion: (s) => {
+            if (s.title == s.what) {
+              return `${s.dir} >	<div class="search-details"> ${s.title}</div>`;
+            } else if (s.previous_headings == "") {
+              return `${s.dir} >	<div class="search-details"> ${s.title}</div> > ${s.what}`;
+            } else {
+              return `${s.dir} >	<div class="search-details"> ${s.title}</div> > ${s.previous_headings} > ${s.what}`;
+            }
+          },
         },
       },
-    },
-  ]).on('autocomplete:selected', function(event, s) {
-    window.location.href = s.path + "?q=" + q + "#" + s.id;
-  });
+    ]).on('autocomplete:selected', function (event, s) {
+      window.location.href = s.path + "?q=" + q + "#" + s.id;
+    });
   });
 })(window.jQuery || window.$)
 
-document.addEventListener('keydown', function(event) {
+document.addEventListener('keydown', function (event) {
   // Check if the pressed key is '/'
   if (event.key === '/') {
     event.preventDefault();  // Prevent any default action associated with the '/' key
diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml
index 3b5d1c0a..7354fde7 100644
--- a/docs/pkgdown.yml
+++ b/docs/pkgdown.yml
@@ -1,13 +1,14 @@
-pandoc: '3.2'
-pkgdown: 2.1.2
+pandoc: 3.6.3
+pkgdown: 2.2.0
 pkgdown_sha: ~
 articles:
   articles/Computing_PSDs: Computing_PSDs.html
+  articles/Computing_PSDs_and_RelativeWeights: Computing_PSDs_and_RelativeWeights.html
   articles/Computing_Relative_Weights: Computing_Relative_Weights.html
   articles/Fitting_Growth_Functions: Fitting_Growth_Functions.html
   articles/Growth_Function_Parameterizations: Growth_Function_Parameterizations.html
   articles/Growth_Starting_Values: Growth_Starting_Values.html
-last_built: 2025-05-06T17:31Z
+last_built: 2026-01-08T20:22Z
 urls:
   reference: https://fishr-core-team.github.io/FSA/reference
   article: https://fishr-core-team.github.io/FSA/articles
diff --git a/docs/reference/BluegillJL.html b/docs/reference/BluegillJL.html
index 01c79a34..739920a4 100644
--- a/docs/reference/BluegillJL.html
+++ b/docs/reference/BluegillJL.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -103,7 +103,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/BrookTroutTH-1.png b/docs/reference/BrookTroutTH-1.png
index ab23868f..c44a173d 100644
Binary files a/docs/reference/BrookTroutTH-1.png and b/docs/reference/BrookTroutTH-1.png differ
diff --git a/docs/reference/BrookTroutTH.html b/docs/reference/BrookTroutTH.html
index 890fa8eb..8da1bce5 100644
--- a/docs/reference/BrookTroutTH.html
+++ b/docs/reference/BrookTroutTH.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -102,7 +102,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/ChinookArg-1.png b/docs/reference/ChinookArg-1.png
index f8b16e3d..94c0d5f6 100644
Binary files a/docs/reference/ChinookArg-1.png and b/docs/reference/ChinookArg-1.png differ
diff --git a/docs/reference/ChinookArg.html b/docs/reference/ChinookArg.html
index 5581290a..94f7b806 100644
--- a/docs/reference/ChinookArg.html
+++ b/docs/reference/ChinookArg.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -108,7 +108,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/CodNorwegian-1.png b/docs/reference/CodNorwegian-1.png
index df3f297e..46baf81c 100644
Binary files a/docs/reference/CodNorwegian-1.png and b/docs/reference/CodNorwegian-1.png differ
diff --git a/docs/reference/CodNorwegian.html b/docs/reference/CodNorwegian.html
index 8a1db6d1..2c491e7f 100644
--- a/docs/reference/CodNorwegian.html
+++ b/docs/reference/CodNorwegian.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -108,7 +108,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/CutthroatAL.html b/docs/reference/CutthroatAL.html
index 820f8755..f1f47aba 100644
--- a/docs/reference/CutthroatAL.html
+++ b/docs/reference/CutthroatAL.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -139,7 +139,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/Ecoli.html b/docs/reference/Ecoli.html
index f4cfed75..36baf56d 100644
--- a/docs/reference/Ecoli.html
+++ b/docs/reference/Ecoli.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -78,7 +78,7 @@ <h2 id="topic-s-">Topic(s)<a class="anchor" aria-label="anchor" href="#topic-s-"
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/FSA-internals.html b/docs/reference/FSA-internals.html
index 72d4610a..a48def5e 100644
--- a/docs/reference/FSA-internals.html
+++ b/docs/reference/FSA-internals.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -60,7 +60,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/FSA.html b/docs/reference/FSA.html
index cfa94336..debb3e8b 100644
--- a/docs/reference/FSA.html
+++ b/docs/reference/FSA.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -82,7 +82,7 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/Mirex.html b/docs/reference/Mirex.html
index 55651464..5d27a7b4 100644
--- a/docs/reference/Mirex.html
+++ b/docs/reference/Mirex.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -97,7 +97,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> weight:year:species  5 0.01650 0.003299  0.8890 0.4916170    </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Residuals           98 0.36372 0.003711                      </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -110,7 +110,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/PSDlit.html b/docs/reference/PSDlit.html
index 551af2a2..b83339f1 100644
--- a/docs/reference/PSDlit.html
+++ b/docs/reference/PSDlit.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -101,6 +101,10 @@ <h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a><
     <p>Original summary table from Dr. Michael Hansen, University of Wisconsin-Stevens Point. Additional species have been added by the package author from the literature.</p>
     </div>
     <div class="section level2">
+    <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
+    <p>Entries for some species (e.g., “Muskellunge” and “Walleye”) have been duplicated for sub-groups to facilitate use with relative weight calculations. For example, entries for “Muskellunge (overall)”, “Muskellunge (female)”, and “Muskellunge (male)” are duplicates of the entry for “Muskellunge”; i.e., these entries in <code>PSDlit</code> are not necessarily just for those sub-groups but this allows for seamless similar computations of relative weights for these sub-groups.</p>
+    </div>
+    <div class="section level2">
     <h2 id="topic-s-">Topic(s)<a class="anchor" aria-label="anchor" href="#topic-s-"></a></h2>
 
 
@@ -125,44 +129,44 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">PSDlit</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	72 obs. of  15 variables:</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ species     : chr  "Arctic Grayling" "Bighead Carp" "Bigmouth Buffalo" "Black Bullhead" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	96 obs. of  15 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ species     : chr  "Alabama Bass" "Arctic Grayling" "Bighead Carp" "Bigmouth Buffalo" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ group       : chr  NA NA NA NA ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ substock.in : int  0 0 0 0 0 0 0 0 0 0 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ stock.in    : num  8 11.8 11 6 15.8 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ quality.in  : num  12 21.2 18 9 28.2 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ preferred.in: num  16 26.8 24 12 35.5 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ memorable.in: num  20 35 30 15 46.5 12 35 10 20 NA ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ trophy.in   : num  22 43.8 37 18 58.2 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ stock.in    : num  7 8 11.8 11 6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ quality.in  : num  11 12 21.2 18 9 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ preferred.in: num  14 16 26.8 24 12 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ memorable.in: num  17 20 35 30 15 46.5 12 35 10 20 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ trophy.in   : num  20 22 43.8 37 18 ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ substock.cm : int  0 0 0 0 0 0 0 0 0 0 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ stock.cm    : num  20 30 28 15 40 13 30 8 20 20 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ quality.cm  : int  30 54 46 23 72 20 51 15 30 33 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ preferred.cm: int  40 68 61 30 90 25 76 20 40 NA ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ memorable.cm: int  50 89 76 39 118 30 89 25 50 NA ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ trophy.cm   : num  55 111 94 46 148 38 114 30 60 NA ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ source      : chr  "Hyatt (2000)" "Phelps and Willis (2013)" "Bister et al. (2000)" "Gabelhouse (1984a)" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ stock.cm    : num  18 20 30 28 15 40 13 30 8 20 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ quality.cm  : int  28 30 54 46 23 72 20 51 15 30 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ preferred.cm: int  35 40 68 61 30 90 25 76 20 40 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ memorable.cm: int  43 50 89 76 39 118 30 89 25 50 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ trophy.cm   : num  51 55 111 94 46 148 38 114 30 60 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ source      : chr  "Sammons et al. (2025)" "Hyatt (2000)" "Phelps and Willis (2013)" "Bister et al. (2000)" ...</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">PSDlit</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>            species group substock.in stock.in quality.in preferred.in</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  Arctic Grayling  &lt;NA&gt;           0     8.00      12.00        16.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2     Bighead Carp  &lt;NA&gt;           0    11.75      21.25        26.75</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3 Bigmouth Buffalo  &lt;NA&gt;           0    11.00      18.00        24.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4   Black Bullhead  &lt;NA&gt;           0     6.00       9.00        12.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5       Black Carp  &lt;NA&gt;           0    15.75      28.25        35.50</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6    Black Crappie  &lt;NA&gt;           0     5.00       8.00        10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1     Alabama Bass  &lt;NA&gt;           0     7.00      11.00        14.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2  Arctic Grayling  &lt;NA&gt;           0     8.00      12.00        16.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3     Bighead Carp  &lt;NA&gt;           0    11.75      21.25        26.75</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4 Bigmouth Buffalo  &lt;NA&gt;           0    11.00      18.00        24.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5   Black Bullhead  &lt;NA&gt;           0     6.00       9.00        12.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6       Black Carp  &lt;NA&gt;           0    15.75      28.25        35.50</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   memorable.in trophy.in substock.cm stock.cm quality.cm preferred.cm</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         20.0     22.00           0       20         30           40</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2         35.0     43.75           0       30         54           68</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3         30.0     37.00           0       28         46           61</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4         15.0     18.00           0       15         23           30</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5         46.5     58.25           0       40         72           90</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6         12.0     15.00           0       13         20           25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1         17.0     20.00           0       18         28           35</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2         20.0     22.00           0       20         30           40</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3         35.0     43.75           0       30         54           68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4         30.0     37.00           0       28         46           61</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5         15.0     18.00           0       15         23           30</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6         46.5     58.25           0       40         72           90</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   memorable.cm trophy.cm                   source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1           50        55             Hyatt (2000)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2           89       111 Phelps and Willis (2013)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3           76        94     Bister et al. (2000)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4           39        46       Gabelhouse (1984a)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5          118       148 Phelps and Willis (2013)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6           30        38       Gabelhouse (1984a)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1           43        51    Sammons et al. (2025)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2           50        55             Hyatt (2000)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3           89       111 Phelps and Willis (2013)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4           76        94     Bister et al. (2000)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5           39        46       Gabelhouse (1984a)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6          118       148 Phelps and Willis (2013)</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -175,7 +179,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/PikeNY.html b/docs/reference/PikeNY.html
index 1946c8c8..768bbc65 100644
--- a/docs/reference/PikeNY.html
+++ b/docs/reference/PikeNY.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -111,7 +111,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/PikeNYPartial1.html b/docs/reference/PikeNYPartial1.html
index 67ba1f7a..55b66c7f 100644
--- a/docs/reference/PikeNYPartial1.html
+++ b/docs/reference/PikeNYPartial1.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -116,7 +116,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/SMBassLS.html b/docs/reference/SMBassLS.html
index 2f136249..67ffcd43 100644
--- a/docs/reference/SMBassLS.html
+++ b/docs/reference/SMBassLS.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -107,7 +107,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/SMBassWB.html b/docs/reference/SMBassWB.html
index 57dc868f..7460f2a7 100644
--- a/docs/reference/SMBassWB.html
+++ b/docs/reference/SMBassWB.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -183,7 +183,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/SpotVA1-1.png b/docs/reference/SpotVA1-1.png
index 28801cb1..65f938f8 100644
Binary files a/docs/reference/SpotVA1-1.png and b/docs/reference/SpotVA1-1.png differ
diff --git a/docs/reference/SpotVA1.html b/docs/reference/SpotVA1.html
index ba92dc2b..01ad5462 100644
--- a/docs/reference/SpotVA1.html
+++ b/docs/reference/SpotVA1.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -105,7 +105,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/Summarize.html b/docs/reference/Summarize.html
index 1dbf2f27..e706bf3a 100644
--- a/docs/reference/Summarize.html
+++ b/docs/reference/Summarize.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -146,22 +146,22 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># typical output of summary() for a numeric variable</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">d</span><span class="op">$</span><span class="va">y</span><span class="op">)</span>   </span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.    NA's </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  0.0000  0.1828  0.4444  0.4628  0.7224  0.9870       3 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  0.0000  0.1687  0.4294  0.4442  0.6987  0.9870       3 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># this function           </span></span></span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">d</span><span class="op">$</span><span class="va">y</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        n   nvalid     mean       sd      min       Q1   median       Q3 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000   99.000    0.463    0.303    0.000    0.183    0.444    0.722 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000   99.000    0.444    0.308    0.000    0.169    0.429    0.699 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      max percZero </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    0.987    2.020 </span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="op">~</span><span class="va">y</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        n   nvalid     mean       sd      min       Q1   median       Q3 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000   99.000    0.463    0.303    0.000    0.183    0.444    0.722 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000   99.000    0.444    0.308    0.000    0.169    0.429    0.699 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      max percZero </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    0.987    2.020 </span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="fl">1</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        n   nvalid     mean       sd      min       Q1   median       Q3 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000   99.000    0.463    0.303    0.000    0.183    0.444    0.722 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000   99.000    0.444    0.308    0.000    0.169    0.429    0.699 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      max percZero </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    0.987    2.020 </span>
 <span class="r-in"><span></span></span>
@@ -172,9 +172,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 102.000   8.000   0.833   7.000   7.000   8.000   9.000   9.000 </span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="op">~</span><span class="va">v</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        n     mean       sd      min       Q1   median       Q3      max </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000    1.049    0.849    0.000    0.000    1.000    2.000    2.000 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  102.000    0.951    0.860    0.000    0.000    1.000    2.000    2.000 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> percZero </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   33.333 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   39.216 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># note that the nvalid and percZero results can be forced to be shown</span></span></span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="op">~</span><span class="va">w</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span>,nvalid<span class="op">=</span><span class="st">"always"</span>,percZero<span class="op">=</span><span class="st">"always"</span><span class="op">)</span></span></span>
@@ -186,52 +186,52 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co">## Numeric vector by levels of a factor variable</span></span></span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">g1</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   g1  n nvalid  mean    sd   min    Q1 median    Q3   max percZero</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  A 34     33 0.470 0.294 0.009 0.213  0.444 0.733 0.974        0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  B 25     25 0.521 0.308 0.000 0.264  0.485 0.866 0.970        4</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  C 23     23 0.424 0.275 0.015 0.180  0.466 0.656 0.959        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1  A 29     27 0.432 0.317 0.000 0.148  0.454 0.720 0.974    3.704</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2  B 28     27 0.461 0.339 0.011 0.202  0.367 0.874 0.987    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  C 23     23 0.519 0.261 0.029 0.362  0.569 0.692 0.959    0.000</span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        g2  n nvalid  mean    sd   min    Q1 median    Q3   max percZero</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1 UNKNOWN 34     31 0.408 0.316 0.011 0.140  0.391 0.646 0.987    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  female 48     48 0.504 0.291 0.000 0.258  0.510 0.760 0.959    2.083</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3    male 20     20 0.449 0.312 0.000 0.165  0.400 0.710 0.970    5.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 UNKNOWN 35     34 0.546 0.295 0.043 0.347  0.527 0.752 0.987    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2  female 47     45 0.428 0.319 0.000 0.148  0.391 0.733 0.959    2.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3    male 20     20 0.309 0.253 0.000 0.159  0.240 0.460 0.920    5.000</span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span>,exclude<span class="op">=</span><span class="st">"UNKNOWN"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>       g2  n  mean    sd min    Q1 median   Q3   max percZero</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1 female 48 0.504 0.291   0 0.258   0.51 0.76 0.959    2.083</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2   male 20 0.449 0.312   0 0.165   0.40 0.71 0.970    5.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       g2  n nvalid  mean    sd min    Q1 median    Q3   max percZero</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 female 47     45 0.428 0.319   0 0.148  0.391 0.733 0.959    2.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   male 20     20 0.309 0.253   0 0.159  0.240 0.460 0.920    5.000</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Numeric vector by levels of two factor variables</span></span></span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">g1</span><span class="op">+</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   g1      g2  n nvalid  mean    sd   min    Q1 median    Q3   max percZero</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  A UNKNOWN 11     10 0.442 0.319 0.011 0.237  0.418 0.496 0.974    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  B UNKNOWN  5      5 0.561 0.307 0.242 0.391  0.392 0.868 0.913    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  C UNKNOWN  9      9 0.347 0.270 0.043 0.072  0.296 0.601 0.716    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  A  female 17     17 0.491 0.296 0.009 0.331  0.494 0.761 0.918    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  B  female 13     13 0.543 0.268 0.123 0.285  0.510 0.781 0.927    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  C  female 12     12 0.487 0.291 0.015 0.187  0.591 0.667 0.959    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  A    male  6      6 0.454 0.294 0.076 0.209  0.529 0.670 0.774    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  B    male  7      7 0.454 0.407 0.000 0.101  0.393 0.805 0.970   14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9  C    male  2      2 0.389 0.219 0.234 0.311  0.389 0.466 0.543    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1  A UNKNOWN 13     12 0.597 0.260 0.147 0.484  0.608 0.733 0.974        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2  B UNKNOWN  8      8 0.705 0.323 0.133 0.455  0.874 0.940 0.987        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  C UNKNOWN  6      6 0.446 0.242 0.123 0.245  0.536 0.635 0.662        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4  A  female 11     10 0.393 0.329 0.027 0.092  0.347 0.691 0.910        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5  B  female 12     11 0.361 0.297 0.028 0.182  0.296 0.415 0.927        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6  C  female 13     13 0.605 0.268 0.029 0.392  0.677 0.802 0.959        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7  A    male  5      5 0.114 0.099 0.000 0.028  0.141 0.165 0.237       20</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8  B    male  8      8 0.354 0.317 0.011 0.147  0.264 0.567 0.920        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9  C    male  4      4 0.347 0.178 0.171 0.225  0.325 0.447 0.569        0</span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">g1</span><span class="op">+</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span>,exclude<span class="op">=</span><span class="st">"UNKNOWN"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   g1     g2  n  mean    sd   min    Q1 median    Q3   max percZero</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  A female 17 0.491 0.296 0.009 0.331  0.494 0.761 0.918    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  B female 13 0.543 0.268 0.123 0.285  0.510 0.781 0.927    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  C female 12 0.487 0.291 0.015 0.187  0.591 0.667 0.959    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  A   male  6 0.454 0.294 0.076 0.209  0.529 0.670 0.774    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  B   male  7 0.454 0.407 0.000 0.101  0.393 0.805 0.970   14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  C   male  2 0.389 0.219 0.234 0.311  0.389 0.466 0.543    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   g1     g2  n nvalid  mean    sd   min    Q1 median    Q3   max percZero</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1  A female 11     10 0.393 0.329 0.027 0.092  0.347 0.691 0.910        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2  B female 12     11 0.361 0.297 0.028 0.182  0.296 0.415 0.927        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  C female 13     13 0.605 0.268 0.029 0.392  0.677 0.802 0.959        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4  A   male  5      5 0.114 0.099 0.000 0.028  0.141 0.165 0.237       20</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5  B   male  8      8 0.354 0.317 0.011 0.147  0.264 0.567 0.920        0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6  C   male  4      4 0.347 0.178 0.171 0.225  0.325 0.447 0.569        0</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## What happens if RHS of formula is not a factor</span></span></span>
 <span class="r-in"><span><span class="fu">Summarize</span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">w</span>,data<span class="op">=</span><span class="va">d</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   w  n nvalid  mean    sd   min    Q1 median    Q3   max percZero</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1 7 35     35 0.527 0.335 0.015 0.198  0.651 0.825 0.974    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2 8 32     30 0.469 0.282 0.009 0.300  0.418 0.701 0.987    0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3 9 35     34 0.391 0.279 0.000 0.152  0.399 0.562 0.964    5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 7 35     33 0.434 0.295 0.000 0.166  0.391 0.723 0.959    3.030</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2 8 32     31 0.404 0.297 0.000 0.129  0.454 0.560 0.970    3.226</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3 9 35     35 0.490 0.330 0.011 0.225  0.429 0.781 0.987    0.000</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Summarizing multiple variables in a data.frame (must reduce to numerics)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/lapply.html" class="external-link">lapply</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">as.list</a></span><span class="op">(</span><span class="va">d</span><span class="op">[</span>,<span class="fl">1</span><span class="op">:</span><span class="fl">3</span><span class="op">]</span><span class="op">)</span>,<span class="va">Summarize</span>,digits<span class="op">=</span><span class="fl">4</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $y</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        n   nvalid     mean       sd      min       Q1   median       Q3 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 102.0000  99.0000   0.4628   0.3034   0.0000   0.1828   0.4444   0.7224 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102.0000  99.0000   0.4442   0.3076   0.0000   0.1687   0.4294   0.6987 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      max percZero </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   0.9870   2.0202 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
@@ -241,9 +241,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> $v</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        n     mean       sd      min       Q1   median       Q3      max </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 102.0000   1.0490   0.8487   0.0000   0.0000   1.0000   2.0000   2.0000 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102.0000   0.9510   0.8603   0.0000   0.0000   1.0000   2.0000   2.0000 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> percZero </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  33.3333 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  39.2157 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
@@ -257,7 +257,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/WR79.html b/docs/reference/WR79.html
index b59bb79b..51251277 100644
--- a/docs/reference/WR79.html
+++ b/docs/reference/WR79.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -118,7 +118,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/WSlit.html b/docs/reference/WSlit.html
index bb4009e6..f8a83b55 100644
--- a/docs/reference/WSlit.html
+++ b/docs/reference/WSlit.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -97,6 +97,7 @@ <h2 id="source">Source<a class="anchor" aria-label="anchor" href="#source"></a><
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>The minimum TL for the English units were derived by rounding the converted minimum TL for the metric units to what seemed like common units (inches, half inches, or quarter inches).</p>
+<p>Entries for “Chinook Salmon (landlocked)” and “Striped Bass (landlocked)” are the same as for “Chinook Salmon” and “Striped Bass” but were added to facilitate use with PSD calculations as Gabelhouse lengths are only published for the landlocked sub-group; i.e., these entries in <code>WSlit</code> are not necessarily just for landlocked populations.</p>
     </div>
     <div class="section level2">
     <h2 id="topic-s-">Topic(s)<a class="anchor" aria-label="anchor" href="#topic-s-"></a></h2>
@@ -126,42 +127,42 @@ <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
     <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">WSlit</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	207 obs. of  13 variables:</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ species: chr  "Aegean Chub" "African Sharptooth Catfish" "Alabama Bass" "Ankara Nase" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	257 obs. of  13 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ species: chr  "Aegean Chub" "African Sharptooth Catfish" "Alabama Bass" "Alabama Bass" ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ group  : chr  NA NA NA NA ...</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  $ measure: chr  "TL" "TL" "TL" "TL" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ units  : chr  "metric" "metric" "metric" "metric" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ ref    : int  75 75 75 75 75 75 50 75 75 25 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ method : chr  "EmP" "EmP" "RLP" "EmP" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ min.len: num  70 180 100 70 150 150 160 6 150 70 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ max.len: num  220 450 NA 240 NA NA NA NA NA 390 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ int    : num  -3.8 -3.67 -5.6 -10.02 -5.24 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ slope  : num  1.78 1.88 3.29 7.4 3.08 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ quad   : num  0.329 0.209 NA -0.971 NA ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ source : chr  "Giannetto et al. (2012)" "Emiroglu et al. (2018)" "Dicenzo et al. (1995)" "Emiroglu et al. (2020)" ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ comment: chr  "none" "only from Sakarya River Basin (Turkey)" "min.len not made clear (assumed same as Spotted Bass); same as Spotted Bass (Alabama subspecies)" "only from Turkey" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ units  : chr  "metric" "metric" "metric" "English" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ ref    : int  75 75 75 75 75 75 75 75 50 75 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ method : chr  "EmP" "EmP" "EmP" "EmP" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ min.len: num  70 180 150 6 100 70 150 150 160 6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ max.len: num  220 450 550 22 NA 240 NA NA NA NA ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ int    : num  -3.8 -3.67 -5.62 -3.53 -5.6 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ slope  : num  1.78 1.88 3.28 3.17 3.29 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ quad   : num  0.329 0.209 NA NA NA ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ source : chr  "Giannetto et al. (2012)" "Emiroglu et al. (2018)" "Sammons et al. (2025)" "Sammons et al. (2025)" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ comment: chr  "none" "only from Sakarya River Basin (Turkey)" "RLP and EmP (quadratic) models not recommended" "RLP and EmP (quadratic) models not recommended" ...</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">WSlit</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>                      species group measure  units ref method min.len max.len</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1                Aegean Chub  &lt;NA&gt;      TL metric  75    EmP      70     220</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2 African Sharptooth Catfish  &lt;NA&gt;      TL metric  75    EmP     180     450</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3               Alabama Bass  &lt;NA&gt;      TL metric  75    RLP     100      NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4                Ankara Nase  &lt;NA&gt;      TL metric  75    EmP      70     240</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5            Arctic Grayling  &lt;NA&gt;      TL metric  75    RLP     150      NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6            Arctic Grayling  &lt;NA&gt;      TL metric  75    EmP     150      NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>       int  slope    quad                  source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  -3.801 1.7830  0.3290 Giannetto et al. (2012)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  -3.668 1.8850  0.2087  Emiroglu et al. (2018)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  -5.598 3.2904      NA   Dicenzo et al. (1995)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4 -10.017 7.4020 -0.9710  Emiroglu et al. (2020)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  -5.241 3.0830      NA    Gilham et al. (2021)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  -5.279 3.0960      NA    Gilham et al. (2021)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>                                                                                            comment</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1                                                                                             none</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2                                                           only from Sakarya River Basin (Turkey)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3 min.len not made clear (assumed same as Spotted Bass); same as Spotted Bass (Alabama subspecies)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4                                                                                 only from Turkey</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5                                           authors note that either RLP or EmP method may be used</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6                                           authors note that either RLP or EmP method may be used</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                      species group measure   units ref method min.len max.len</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1                Aegean Chub  &lt;NA&gt;      TL  metric  75    EmP      70     220</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2 African Sharptooth Catfish  &lt;NA&gt;      TL  metric  75    EmP     180     450</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3               Alabama Bass  &lt;NA&gt;      TL  metric  75    EmP     150     550</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4               Alabama Bass  &lt;NA&gt;      TL English  75    EmP       6      22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5    Alabama Bass (original)  &lt;NA&gt;      TL  metric  75    RLP     100      NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6                Ankara Nase  &lt;NA&gt;      TL  metric  75    EmP      70     240</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        int  slope    quad                  source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1  -3.8010 1.7830  0.3290 Giannetto et al. (2012)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2  -3.6680 1.8850  0.2087  Emiroglu et al. (2018)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  -5.6189 3.2840      NA   Sammons et al. (2025)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4  -3.5339 3.1750      NA   Sammons et al. (2025)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5  -5.5980 3.2904      NA   Dicenzo et al. (1995)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6 -10.0170 7.4020 -0.9710  Emiroglu et al. (2020)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                                                                   comment</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1                                                                    none</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2                                  only from Sakarya River Basin (Turkey)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3                          RLP and EmP (quadratic) models not recommended</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4                          RLP and EmP (quadratic) models not recommended</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5 HAS BEEN REVISED; min.len not made clear (assumed same as Spotted Bass)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6                                                        only from Turkey</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -174,7 +175,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/WhitefishLC.html b/docs/reference/WhitefishLC.html
index 992bbeff..0642b078 100644
--- a/docs/reference/WhitefishLC.html
+++ b/docs/reference/WhitefishLC.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -145,7 +145,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/addZeroCatch.html b/docs/reference/addZeroCatch.html
index bae27385..8deefc97 100644
--- a/docs/reference/addZeroCatch.html
+++ b/docs/reference/addZeroCatch.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -445,7 +445,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/ageBias-1.png b/docs/reference/ageBias-1.png
index 5eccedaf..a50ed394 100644
Binary files a/docs/reference/ageBias-1.png and b/docs/reference/ageBias-1.png differ
diff --git a/docs/reference/ageBias-10.png b/docs/reference/ageBias-10.png
index 3330eae7..d675635a 100644
Binary files a/docs/reference/ageBias-10.png and b/docs/reference/ageBias-10.png differ
diff --git a/docs/reference/ageBias-11.png b/docs/reference/ageBias-11.png
index fbe96b15..bf24d59d 100644
Binary files a/docs/reference/ageBias-11.png and b/docs/reference/ageBias-11.png differ
diff --git a/docs/reference/ageBias-12.png b/docs/reference/ageBias-12.png
index be19d345..bea16923 100644
Binary files a/docs/reference/ageBias-12.png and b/docs/reference/ageBias-12.png differ
diff --git a/docs/reference/ageBias-13.png b/docs/reference/ageBias-13.png
index 541dd065..7d8861e4 100644
Binary files a/docs/reference/ageBias-13.png and b/docs/reference/ageBias-13.png differ
diff --git a/docs/reference/ageBias-14.png b/docs/reference/ageBias-14.png
index b94f21b6..efc241db 100644
Binary files a/docs/reference/ageBias-14.png and b/docs/reference/ageBias-14.png differ
diff --git a/docs/reference/ageBias-15.png b/docs/reference/ageBias-15.png
index d4ef27a1..c91491e8 100644
Binary files a/docs/reference/ageBias-15.png and b/docs/reference/ageBias-15.png differ
diff --git a/docs/reference/ageBias-16.png b/docs/reference/ageBias-16.png
index a404a913..f6466c7c 100644
Binary files a/docs/reference/ageBias-16.png and b/docs/reference/ageBias-16.png differ
diff --git a/docs/reference/ageBias-17.png b/docs/reference/ageBias-17.png
index 682ae900..b917c436 100644
Binary files a/docs/reference/ageBias-17.png and b/docs/reference/ageBias-17.png differ
diff --git a/docs/reference/ageBias-18.png b/docs/reference/ageBias-18.png
index 5b63f228..2e6521d3 100644
Binary files a/docs/reference/ageBias-18.png and b/docs/reference/ageBias-18.png differ
diff --git a/docs/reference/ageBias-19.png b/docs/reference/ageBias-19.png
index 36889422..f605a78e 100644
Binary files a/docs/reference/ageBias-19.png and b/docs/reference/ageBias-19.png differ
diff --git a/docs/reference/ageBias-2.png b/docs/reference/ageBias-2.png
index 16253975..4cdac660 100644
Binary files a/docs/reference/ageBias-2.png and b/docs/reference/ageBias-2.png differ
diff --git a/docs/reference/ageBias-20.png b/docs/reference/ageBias-20.png
index d3a18ab2..508cc116 100644
Binary files a/docs/reference/ageBias-20.png and b/docs/reference/ageBias-20.png differ
diff --git a/docs/reference/ageBias-21.png b/docs/reference/ageBias-21.png
index 5d964457..4f2eeca5 100644
Binary files a/docs/reference/ageBias-21.png and b/docs/reference/ageBias-21.png differ
diff --git a/docs/reference/ageBias-22.png b/docs/reference/ageBias-22.png
index 51b697f0..2b00b41d 100644
Binary files a/docs/reference/ageBias-22.png and b/docs/reference/ageBias-22.png differ
diff --git a/docs/reference/ageBias-3.png b/docs/reference/ageBias-3.png
index 1b7e6eef..4c227147 100644
Binary files a/docs/reference/ageBias-3.png and b/docs/reference/ageBias-3.png differ
diff --git a/docs/reference/ageBias-4.png b/docs/reference/ageBias-4.png
index e6d98edb..392c2e11 100644
Binary files a/docs/reference/ageBias-4.png and b/docs/reference/ageBias-4.png differ
diff --git a/docs/reference/ageBias-5.png b/docs/reference/ageBias-5.png
index 41b5d0be..eefa40c4 100644
Binary files a/docs/reference/ageBias-5.png and b/docs/reference/ageBias-5.png differ
diff --git a/docs/reference/ageBias-6.png b/docs/reference/ageBias-6.png
index b14ebcd0..618462e7 100644
Binary files a/docs/reference/ageBias-6.png and b/docs/reference/ageBias-6.png differ
diff --git a/docs/reference/ageBias-7.png b/docs/reference/ageBias-7.png
index 5af5d167..72ddc68d 100644
Binary files a/docs/reference/ageBias-7.png and b/docs/reference/ageBias-7.png differ
diff --git a/docs/reference/ageBias-8.png b/docs/reference/ageBias-8.png
index 7180dfbb..495d0b93 100644
Binary files a/docs/reference/ageBias-8.png and b/docs/reference/ageBias-8.png differ
diff --git a/docs/reference/ageBias-9.png b/docs/reference/ageBias-9.png
index 554f21fd..ce4c496c 100644
Binary files a/docs/reference/ageBias-9.png and b/docs/reference/ageBias-9.png differ
diff --git a/docs/reference/ageBias.html b/docs/reference/ageBias.html
index 34a19977..3dec286f 100644
--- a/docs/reference/ageBias.html
+++ b/docs/reference/ageBias.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -204,7 +204,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-sfrac">sfrac<a class="anchor" aria-label="anchor" href="#arg-sfrac"></a></dt>
-<dd><p>A numeric that controls the separate ‘sfrac’ arguments (e.g., <code>sfrac.CI</code> and <code>sfrac.range</code>). See <code>sfrac</code> in <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
+<dd><p>A numeric that controls the separate ‘sfrac’ arguments (e.g., <code>sfrac.CI</code> and <code>sfrac.range</code>). See <code>sfrac</code> in <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
 
 
 <dt id="arg-show-pts">show.pts<a class="anchor" aria-label="anchor" href="#arg-show-pts"></a></dt>
@@ -244,7 +244,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-sfrac-ci">sfrac.CI<a class="anchor" aria-label="anchor" href="#arg-sfrac-ci"></a></dt>
-<dd><p>A numeric for the size of the ends of the confidence interval bars. See <code>sfrac</code> in <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
+<dd><p>A numeric for the size of the ends of the confidence interval bars. See <code>sfrac</code> in <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
 
 
 <dt id="arg-show-range">show.range<a class="anchor" aria-label="anchor" href="#arg-show-range"></a></dt>
@@ -260,7 +260,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-sfrac-range">sfrac.range<a class="anchor" aria-label="anchor" href="#arg-sfrac-range"></a></dt>
-<dd><p>A numeric for the size of the ends of the range intervals. See <code>sfrac</code> in <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
+<dd><p>A numeric for the size of the ends of the range intervals. See <code>sfrac</code> in <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
 
 
 <dt id="arg-pch-mean">pch.mean<a class="anchor" aria-label="anchor" href="#arg-pch-mean"></a></dt>
@@ -716,7 +716,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/agePrecision-1.png b/docs/reference/agePrecision-1.png
index dc8d50e0..9c4c79cc 100644
Binary files a/docs/reference/agePrecision-1.png and b/docs/reference/agePrecision-1.png differ
diff --git a/docs/reference/agePrecision-10.png b/docs/reference/agePrecision-10.png
index f9829e17..6a2d9402 100644
Binary files a/docs/reference/agePrecision-10.png and b/docs/reference/agePrecision-10.png differ
diff --git a/docs/reference/agePrecision-2.png b/docs/reference/agePrecision-2.png
index 8fda040f..d915dc1f 100644
Binary files a/docs/reference/agePrecision-2.png and b/docs/reference/agePrecision-2.png differ
diff --git a/docs/reference/agePrecision-3.png b/docs/reference/agePrecision-3.png
index ce32e0d2..79a110e5 100644
Binary files a/docs/reference/agePrecision-3.png and b/docs/reference/agePrecision-3.png differ
diff --git a/docs/reference/agePrecision-4.png b/docs/reference/agePrecision-4.png
index 94e19e75..f2189685 100644
Binary files a/docs/reference/agePrecision-4.png and b/docs/reference/agePrecision-4.png differ
diff --git a/docs/reference/agePrecision-5.png b/docs/reference/agePrecision-5.png
index 84e216c1..ccb7be9d 100644
Binary files a/docs/reference/agePrecision-5.png and b/docs/reference/agePrecision-5.png differ
diff --git a/docs/reference/agePrecision-6.png b/docs/reference/agePrecision-6.png
index fea8a587..32ac0872 100644
Binary files a/docs/reference/agePrecision-6.png and b/docs/reference/agePrecision-6.png differ
diff --git a/docs/reference/agePrecision-7.png b/docs/reference/agePrecision-7.png
index 9293cc8e..77ff05bb 100644
Binary files a/docs/reference/agePrecision-7.png and b/docs/reference/agePrecision-7.png differ
diff --git a/docs/reference/agePrecision-8.png b/docs/reference/agePrecision-8.png
index d6eeb138..fad4c308 100644
Binary files a/docs/reference/agePrecision-8.png and b/docs/reference/agePrecision-8.png differ
diff --git a/docs/reference/agePrecision-9.png b/docs/reference/agePrecision-9.png
index 784d9c59..dda26b9b 100644
Binary files a/docs/reference/agePrecision-9.png and b/docs/reference/agePrecision-9.png differ
diff --git a/docs/reference/agePrecision.html b/docs/reference/agePrecision.html
index d586b204..ca672fe8 100644
--- a/docs/reference/agePrecision.html
+++ b/docs/reference/agePrecision.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -188,176 +188,310 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>  1.9868  1.3245  0.0000  0.0000  0.6623  0.0000  0.6623 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Intermediate calculations for each individual</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    otolithC scaleC mean median mode     SD     CV    CV2  AD     PE    PE2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3         3      6  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6         6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7        10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8        11      5  8.0    8.0   NA 4.2426 53.033 53.033 3.0 37.500 37.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12        3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14       11      6  8.5    8.5   NA 3.5355 41.595 41.595 2.5 29.412 29.412</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15       10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16       10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17       14      6 10.0   10.0   NA 5.6569 56.569 56.569 4.0 40.000 40.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18       13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19       13      7 10.0   10.0   NA 4.2426 42.426 42.426 3.0 30.000 30.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21       14      7 10.5   10.5   NA 4.9497 47.140 47.140 3.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23        7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25        6      3  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26        3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27        3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29        4      6  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35        4      2  3.0    3.0   NA 1.4142 47.140 47.140 1.0 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36        4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42        4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44        2      5  3.5    3.5   NA 2.1213 60.609 60.609 1.5 42.857 42.857</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45        2      3  2.5    2.5   NA 0.7071 28.284 28.284 0.5 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50        4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51        2      2  2.0    2.0    2 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57        7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62        5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63        5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65        5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66       18      7 12.5   12.5   NA 7.7782 62.225 62.225 5.5 44.000 44.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67        7      8  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68        9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69        5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71       12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72        7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74        9      6  7.5    7.5   NA 2.1213 28.284 28.284 1.5 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75       11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 77        3      1  2.0    2.0   NA 1.4142 70.711 70.711 1.0 50.000 50.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 78       14     13 13.5   13.5   NA 0.7071  5.238  5.238 0.5  3.704  3.704</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 79        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 80       12      6  9.0    9.0   NA 4.2426 47.140 47.140 3.0 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 81       11      9 10.0   10.0   NA 1.4142 14.142 14.142 1.0 10.000 10.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 82        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 83        8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         D</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1   0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5   0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  17.647</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  37.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9  14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14 29.412</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17 40.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18 36.842</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19 30.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20  7.692</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44 42.857</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66 44.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67  6.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68  5.882</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71 26.316</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75 22.222</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 77 50.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 78  3.704</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 79 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 80 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 81 10.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 82 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 83  6.667</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some rows of details not shown because getOption('max.print') (=1000)</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span>   was reached. Use at least options(max.print=1812) to see all details.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC scaleC mean median mode     SD     CV    CV2  AD     PE    PE2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3      6  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11      5  8.0    8.0   NA 4.2426 53.033 53.033 3.0 37.500 37.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11      6  8.5    8.5   NA 3.5355 41.595 41.595 2.5 29.412 29.412</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      6 10.0   10.0   NA 5.6569 56.569 56.569 4.0 40.000 40.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13      7 10.0   10.0   NA 4.2426 42.426 42.426 3.0 30.000 30.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14      7 10.5   10.5   NA 4.9497 47.140 47.140 3.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6      3  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4      6  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4      2  3.0    3.0   NA 1.4142 47.140 47.140 1.0 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2      5  3.5    3.5   NA 2.1213 60.609 60.609 1.5 42.857 42.857</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2      3  2.5    2.5   NA 0.7071 28.284 28.284 0.5 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2      2  2.0    2.0    2 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18      7 12.5   12.5   NA 7.7782 62.225 62.225 5.5 44.000 44.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7      8  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9      6  7.5    7.5   NA 2.1213 28.284 28.284 1.5 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3      1  2.0    2.0   NA 1.4142 70.711 70.711 1.0 50.000 50.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14     13 13.5   13.5   NA 0.7071  5.238  5.238 0.5  3.704  3.704</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12      6  9.0    9.0   NA 4.2426 47.140 47.140 3.0 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11      9 10.0   10.0   NA 1.4142 14.142 14.142 1.0 10.000 10.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5      8  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18     13 15.5   15.5   NA 3.5355 22.810 22.810 2.5 16.129 16.129</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12     10 11.0   11.0   NA 1.4142 12.856 12.856 1.0  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13      9 11.0   11.0   NA 2.8284 25.713 25.713 2.0 18.182 18.182</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6      6  6.0    6.0    6 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13     10 11.5   11.5   NA 2.1213 18.446 18.446 1.5 13.043 13.043</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7      7  7.0    7.0    7 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      9 13.0   13.0   NA 5.6569 43.514 43.514 4.0 30.769 30.769</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12      8 10.0   10.0   NA 2.8284 28.284 28.284 2.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12      9 10.5   10.5   NA 2.1213 20.203 20.203 1.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13     13 13.0   13.0   13 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16     13 14.5   14.5   NA 2.1213 14.630 14.630 1.5 10.345 10.345</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15     12 13.5   13.5   NA 2.1213 15.713 15.713 1.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13     11 12.0   12.0   NA 1.4142 11.785 11.785 1.0  8.333  8.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16     10 13.0   13.0   NA 4.2426 32.636 32.636 3.0 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7     10  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16     12 14.0   14.0   NA 2.8284 20.203 20.203 2.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15     11 13.0   13.0   NA 2.8284 21.757 21.757 2.0 15.385 15.385</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15     14 14.5   14.5   NA 0.7071  4.877  4.877 0.5  3.448  3.448</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8      8  8.0    8.0    8 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19     14 16.5   16.5   NA 3.5355 21.427 21.427 2.5 15.152 15.152</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12     12 12.0   12.0   12 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17     13 15.0   15.0   NA 2.8284 18.856 18.856 2.0 13.333 13.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23     10 16.5   16.5   NA 9.1924 55.711 55.711 6.5 39.394 39.394</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16     15 15.5   15.5   NA 0.7071  4.562  4.562 0.5  3.226  3.226</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          D</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4   14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6   20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7   17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8   37.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9   14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14  29.412</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15  25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16  25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17  40.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18  36.842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19  30.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20   7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22  12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23  16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44  42.857</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57  16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66  44.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67   6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68   5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71  26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72  16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75  22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77  50.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78   3.704</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81  10.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82  12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83   6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85   6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86  16.129</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88  15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89   5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90  15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91  18.182</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92  12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93  17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99  22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106 13.043</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108 26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117 30.769</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127 10.345</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131  8.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136 15.385</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137  3.448</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141 15.152</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147 13.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148 39.394</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149  3.226</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151 36.842</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"precision"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    n validn R PercAgree   ASD   ACV   AAD   APE</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  151    151 2     19.87 1.541 21.11 1.089 14.93</span>
@@ -392,176 +526,310 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>       7       8       9      10      11      12      13 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  1.9868  1.3245  0.0000  0.0000  0.6623  0.0000  0.6623 </span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap1</span>,what<span class="op">=</span><span class="st">"detail"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    otolithC scaleC mean median mode     SD     CV    CV2  AD     PE    PE2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3         3      6  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6         6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7        10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8        11      5  8.0    8.0   NA 4.2426 53.033 53.033 3.0 37.500 37.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12        3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14       11      6  8.5    8.5   NA 3.5355 41.595 41.595 2.5 29.412 29.412</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15       10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16       10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17       14      6 10.0   10.0   NA 5.6569 56.569 56.569 4.0 40.000 40.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18       13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19       13      7 10.0   10.0   NA 4.2426 42.426 42.426 3.0 30.000 30.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21       14      7 10.5   10.5   NA 4.9497 47.140 47.140 3.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23        7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25        6      3  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26        3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27        3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29        4      6  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35        4      2  3.0    3.0   NA 1.4142 47.140 47.140 1.0 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36        4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42        4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44        2      5  3.5    3.5   NA 2.1213 60.609 60.609 1.5 42.857 42.857</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45        2      3  2.5    2.5   NA 0.7071 28.284 28.284 0.5 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50        4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51        2      2  2.0    2.0    2 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53        3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57        7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60        2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61        1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62        5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63        5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65        5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66       18      7 12.5   12.5   NA 7.7782 62.225 62.225 5.5 44.000 44.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67        7      8  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68        9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69        5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71       12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72        7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74        9      6  7.5    7.5   NA 2.1213 28.284 28.284 1.5 20.000 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75       11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76        1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 77        3      1  2.0    2.0   NA 1.4142 70.711 70.711 1.0 50.000 50.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 78       14     13 13.5   13.5   NA 0.7071  5.238  5.238 0.5  3.704  3.704</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 79        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 80       12      6  9.0    9.0   NA 4.2426 47.140 47.140 3.0 33.333 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 81       11      9 10.0   10.0   NA 1.4142 14.142 14.142 1.0 10.000 10.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 82        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 83        8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         D</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1   0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5   0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  17.647</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  37.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9  14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14 29.412</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16 25.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17 40.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18 36.842</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19 30.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20  7.692</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44 42.857</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 23.077</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65  9.091</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66 44.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67  6.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68  5.882</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71 26.316</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72 16.667</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73 11.111</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74 20.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75 22.222</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76  0.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 77 50.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 78  3.704</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 79 14.286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 80 33.333</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 81 10.000</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 82 12.500</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 83  6.667</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some rows of details not shown because getOption('max.print') (=1000)</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span>   was reached. Use at least options(max.print=1812) to see all details.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC scaleC mean median mode     SD     CV    CV2  AD     PE    PE2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3      6  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11      5  8.0    8.0   NA 4.2426 53.033 53.033 3.0 37.500 37.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11      6  8.5    8.5   NA 3.5355 41.595 41.595 2.5 29.412 29.412</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10      6  8.0    8.0   NA 2.8284 35.355 35.355 2.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      6 10.0   10.0   NA 5.6569 56.569 56.569 4.0 40.000 40.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13      7 10.0   10.0   NA 4.2426 42.426 42.426 3.0 30.000 30.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14      7 10.5   10.5   NA 4.9497 47.140 47.140 3.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6      3  4.5    4.5   NA 2.1213 47.140 47.140 1.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3      4  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4      6  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4      2  3.0    3.0   NA 1.4142 47.140 47.140 1.0 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2      5  3.5    3.5   NA 2.1213 60.609 60.609 1.5 42.857 42.857</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2      3  2.5    2.5   NA 0.7071 28.284 28.284 0.5 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2      2  2.0    2.0    2 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3      3  3.0    3.0    3 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2      1  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1      2  1.5    1.5   NA 0.7071 47.140 47.140 0.5 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18      7 12.5   12.5   NA 7.7782 62.225 62.225 5.5 44.000 44.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7      8  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5      4  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7      5  6.0    6.0   NA 1.4142 23.570 23.570 1.0 16.667 16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9      6  7.5    7.5   NA 2.1213 28.284 28.284 1.5 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1      1  1.0    1.0    1 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3      1  2.0    2.0   NA 1.4142 70.711 70.711 1.0 50.000 50.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14     13 13.5   13.5   NA 0.7071  5.238  5.238 0.5  3.704  3.704</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12      6  9.0    9.0   NA 4.2426 47.140 47.140 3.0 33.333 33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11      9 10.0   10.0   NA 1.4142 14.142 14.142 1.0 10.000 10.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5      8  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18     13 15.5   15.5   NA 3.5355 22.810 22.810 2.5 16.129 16.129</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12     10 11.0   11.0   NA 1.4142 12.856 12.856 1.0  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13      9 11.0   11.0   NA 2.8284 25.713 25.713 2.0 18.182 18.182</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4      3  3.5    3.5   NA 0.7071 20.203 20.203 0.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6      6  6.0    6.0    6 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11      7  9.0    9.0   NA 2.8284 31.427 31.427 2.0 22.222 22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8      5  6.5    6.5   NA 2.1213 32.636 32.636 1.5 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5      6  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6      4  5.0    5.0   NA 1.4142 28.284 28.284 1.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13     10 11.5   11.5   NA 2.1213 18.446 18.446 1.5 13.043 13.043</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12      7  9.5    9.5   NA 3.5355 37.216 37.216 2.5 26.316 26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7      7  7.0    7.0    7 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4      4  4.0    4.0    4 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5      5  5.0    5.0    5 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      9 13.0   13.0   NA 5.6569 43.514 43.514 4.0 30.769 30.769</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7      6  6.5    6.5   NA 0.7071 10.879 10.879 0.5  7.692  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10      8  9.0    9.0   NA 1.4142 15.713 15.713 1.0 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11      8  9.5    9.5   NA 2.1213 22.330 22.330 1.5 15.789 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12      8 10.0   10.0   NA 2.8284 28.284 28.284 2.0 20.000 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8      7  7.5    7.5   NA 0.7071  9.428  9.428 0.5  6.667  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12      9 10.5   10.5   NA 2.1213 20.203 20.203 1.5 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13     13 13.0   13.0   13 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16     13 14.5   14.5   NA 2.1213 14.630 14.630 1.5 10.345 10.345</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17     11 14.0   14.0   NA 4.2426 30.305 30.305 3.0 21.429 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15     12 13.5   13.5   NA 2.1213 15.713 15.713 1.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4      5  4.5    4.5   NA 0.7071 15.713 15.713 0.5 11.111 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13     11 12.0   12.0   NA 1.4142 11.785 11.785 1.0  8.333  8.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16     10 13.0   13.0   NA 4.2426 32.636 32.636 3.0 23.077 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7     10  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6      5  5.5    5.5   NA 0.7071 12.856 12.856 0.5  9.091  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16     12 14.0   14.0   NA 2.8284 20.203 20.203 2.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15     11 13.0   13.0   NA 2.8284 21.757 21.757 2.0 15.385 15.385</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15     14 14.5   14.5   NA 0.7071  4.877  4.877 0.5  3.448  3.448</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10      7  8.5    8.5   NA 2.1213 24.957 24.957 1.5 17.647 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8      8  8.0    8.0    8 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19     14 16.5   16.5   NA 3.5355 21.427 21.427 2.5 15.152 15.152</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      8  8.5    8.5   NA 0.7071  8.319  8.319 0.5  5.882  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12     12 12.0   12.0   12 0.0000  0.000  0.000 0.0  0.000  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8      6  7.0    7.0   NA 1.4142 20.203 20.203 1.0 14.286 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9      7  8.0    8.0   NA 1.4142 17.678 17.678 1.0 12.500 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17     13 15.0   15.0   NA 2.8284 18.856 18.856 2.0 13.333 13.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23     10 16.5   16.5   NA 9.1924 55.711 55.711 6.5 39.394 39.394</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16     15 15.5   15.5   NA 0.7071  4.562  4.562 0.5  3.226  3.226</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      9 12.0   12.0   NA 4.2426 35.355 35.355 3.0 25.000 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13      6  9.5    9.5   NA 4.9497 52.103 52.103 3.5 36.842 36.842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          D</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4   14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5    0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6   20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7   17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8   37.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9   14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14  29.412</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15  25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16  25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17  40.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18  36.842</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19  30.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20   7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22  12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23  16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44  42.857</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57  16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66  44.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67   6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68   5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71  26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72  16.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73  11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75  22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77  50.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78   3.704</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80  33.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81  10.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82  12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83   6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84  23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85   6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86  16.129</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87   9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88  15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89   5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90  15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91  18.182</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92  12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93  17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95  20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97  14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99  22.222</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106 13.043</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108 26.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117 30.769</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118  7.692</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120 15.789</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123  6.667</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127 10.345</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128 21.429</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130 11.111</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131  8.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132 23.077</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134  9.091</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136 15.385</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137  3.448</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139 17.647</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141 15.152</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142  5.882</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143  0.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144 14.286</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146 12.500</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147 13.333</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148 39.394</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149  3.226</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150 25.000</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151 36.842</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/barplot.html" class="external-link">barplot</a></span><span class="op">(</span><span class="va">ap1</span><span class="op">$</span><span class="va">rawdiff</span>,ylab<span class="op">=</span><span class="st">"Frequency"</span>,xlab<span class="op">=</span><span class="st">"Otolith - Scale Age"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="agePrecision-1.png" alt="" width="700" height="433"></span>
@@ -612,162 +880,310 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> finrayC - scaleC    0.000  0.000  0.000</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Intermediate calculations for each individual</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    otolithC finrayC scaleC  mean median mode    SD    CV   CV2    AD    PE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2         3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3         3       3      6  4.00      3    3 1.732 43.30  70.7 1.333 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4         3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5         3       4      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6         6       3      4  4.33      4   NA 1.528 35.25  39.5 1.111 25.64</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7        10       6      7  7.67      7   NA 2.082 27.15  31.9 1.556 20.29</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8        11       9      5  8.33      9   NA 3.055 36.66  35.1 2.222 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9         4       3      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11        1       2      2  1.67      2    2 0.577 34.64  35.4 0.444 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12        3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14       11       8      6  8.33      8   NA 2.517 30.20  31.9 1.778 21.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15       10       7      6  7.67      7   NA 2.082 27.15  31.9 1.556 20.29</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16       10       6      6  7.33      6    6 2.309 31.49  47.1 1.778 24.24</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17       14      12      6 10.67     12   NA 4.163 39.03  37.3 3.111 29.17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18       13       6      6  8.33      6    6 4.041 48.50  82.5 3.111 37.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19       13       8      7  9.33      8   NA 3.215 34.44  45.1 2.444 26.19</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20        7       6      6  6.33      6    6 0.577  9.12  11.8 0.444  7.02</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21       14       7      7  9.33      7    7 4.041 43.30  70.7 3.111 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22        9       6      7  7.33      7   NA 1.528 20.83  22.6 1.111 15.15</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23        7       4      5  5.33      5   NA 1.528 28.64  31.6 1.111 20.83</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24        6       6      5  5.67      6    6 0.577 10.19  11.8 0.444  7.84</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25        6       6      3  5.00      6    6 1.732 34.64  35.4 1.333 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26        3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27        3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28        6       4      5  5.00      5   NA 1.000 20.00  20.0 0.667 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29        4       4      6  4.67      4    4 1.155 24.74  35.4 0.889 19.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31        4       3      4  3.67      4    4 0.577 15.75  17.7 0.444 12.12</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34        4       2      4  3.33      4    4 1.155 34.64  35.4 0.889 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35        4       3      2  3.00      3   NA 1.000 33.33  33.3 0.667 22.22</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36        4       3      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38        1       3      2  2.00      2   NA 1.000 50.00  50.0 0.667 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39        1       2      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42        4       3      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43        8       6      5  6.33      6   NA 1.528 24.12  26.4 1.111 17.54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44        2       3      5  3.33      3   NA 1.528 45.83  52.7 1.111 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45        2       4      3  3.00      3   NA 1.000 33.33  33.3 0.667 22.22</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46        3       2      3  2.67      3    3 0.577 21.65  23.6 0.444 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47        1       1      2  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49        8       7      5  6.67      7   NA 1.528 22.91  22.6 1.111 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50        4       4      3  3.67      4    4 0.577 15.75  17.7 0.444 12.12</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51        2       2      2  2.00      2    2 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54        8       6      5  6.33      6   NA 1.528 24.12  26.4 1.111 17.54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55        4       4      4  4.00      4    4 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56        6       6      5  5.67      6    6 0.577 10.19  11.8 0.444  7.84</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57        7       5      5  5.67      5    5 1.155 20.38  28.3 0.889 15.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61        1       1      2  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62        5       5      4  4.67      5    5 0.577 12.37  14.1 0.444  9.52</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63        5       4      4  4.33      4    4 0.577 13.32  17.7 0.444 10.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64        4       4      5  4.33      4    4 0.577 13.32  17.7 0.444 10.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65        5       3      6  4.67      5   NA 1.528 32.73  31.6 1.111 23.81</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66       18       7      7 10.67      7    7 6.351 59.54 111.1 4.889 45.83</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67        7       5      8  6.67      7   NA 1.528 22.91  22.6 1.111 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68        9       6      8  7.67      8   NA 1.528 19.92  19.8 1.111 14.49</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69        5       4      4  4.33      4    4 0.577 13.32  17.7 0.444 10.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70       10       6      8  8.00      8   NA 2.000 25.00  25.0 1.333 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71       12       7      7  8.67      7    7 2.887 33.31  50.5 2.222 25.64</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72        7       6      5  6.00      6   NA 1.000 16.67  16.7 0.667 11.11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73       10       7      8  8.33      8   NA 1.528 18.33  19.8 1.111 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74        9       5      6  6.67      6   NA 2.082 31.22  37.3 1.556 23.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75       11       7      7  8.33      7    7 2.309 27.71  40.4 1.778 21.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>      PE2     D</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1   0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  25.00 20.35</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  19.05 15.68</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  22.22 21.17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11 16.67 20.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14 20.83 17.44</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15 19.05 15.68</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16 22.22 18.18</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17 22.22 22.53</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18 38.89 28.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19 25.00 19.88</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20  5.56  5.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22 14.29 12.03</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23 20.00 16.54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24  5.56  5.88</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25 16.67 20.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28 13.33 11.55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29 16.67 14.29</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31  8.33  9.09</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34 16.67 20.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35 22.22 19.25</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38 33.33 28.87</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43 16.67 13.93</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44 33.33 26.46</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45 22.22 19.25</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46 11.11 12.50</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49 14.29 13.23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50  8.33  9.09</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 16.67 13.93</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56  5.56  5.88</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 13.33 11.76</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62  6.67  7.14</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63  8.33  7.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64  8.33  7.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65 20.00 18.90</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66 52.38 34.38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67 14.29 13.23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68 12.50 11.50</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69  8.33  7.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70 16.67 14.43</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71 23.81 19.23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72 11.11  9.62</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73 12.50 10.58</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74 22.22 18.03</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75 19.05 16.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76  0.00  0.00</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some rows of details not shown because getOption('max.print') (=1000)</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span>   was reached. Use at least options(max.print=1963) to see all details.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC finrayC scaleC  mean median mode    SD    CV    CV2    AD    PE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3       3      6  4.00      3    3 1.732 43.30  70.71 1.333 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3       4      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6       3      4  4.33      4   NA 1.528 35.25  39.53 1.111 25.64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11       9      5  8.33      9   NA 3.055 36.66  35.14 2.222 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1       2      2  1.67      2    2 0.577 34.64  35.36 0.444 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11       8      6  8.33      8   NA 2.517 30.20  31.87 1.778 21.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10       7      6  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10       6      6  7.33      6    6 2.309 31.49  47.14 1.778 24.24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      12      6 10.67     12   NA 4.163 39.03  37.27 3.111 29.17</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13       6      6  8.33      6    6 4.041 48.50  82.50 3.111 37.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13       8      7  9.33      8   NA 3.215 34.44  45.07 2.444 26.19</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14       7      7  9.33      7    7 4.041 43.30  70.71 3.111 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7       4      5  5.33      5   NA 1.528 28.64  31.62 1.111 20.83</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6       6      3  5.00      6    6 1.732 34.64  35.36 1.333 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4       4      6  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4       2      4  3.33      4    4 1.155 34.64  35.36 0.889 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4       3      2  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1       3      2  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1       2      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2       3      5  3.33      3   NA 1.528 45.83  52.70 1.111 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2       4      3  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3       2      3  2.67      3    3 0.577 21.65  23.57 0.444 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8       7      5  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4       4      3  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2       2      2  2.00      2    2 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7       5      5  5.67      5    5 1.155 20.38  28.28 0.889 15.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5       5      4  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5       3      6  4.67      5   NA 1.528 32.73  31.62 1.111 23.81</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18       7      7 10.67      7    7 6.351 59.54 111.12 4.889 45.83</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7       5      8  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10       6      8  8.00      8   NA 2.000 25.00  25.00 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7       6      5  6.00      6   NA 1.000 16.67  16.67 0.667 11.11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10       7      8  8.33      8   NA 1.528 18.33  19.76 1.111 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9       5      6  6.67      6   NA 2.082 31.22  37.27 1.556 23.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3       2      1  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14       9     13 12.00     13   NA 2.646 22.05  22.43 2.000 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12       7      6  8.33      7   NA 3.215 38.57  51.51 2.444 29.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11       7      9  9.00      9   NA 2.000 22.22  22.22 1.333 14.81</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5       4      8  5.67      5   NA 2.082 36.74  44.72 1.556 27.45</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18       9     13 13.33     13   NA 4.509 33.82  34.83 3.111 23.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12       8     10 10.00     10   NA 2.000 20.00  20.00 1.333 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11       5      8  8.00      8   NA 3.000 37.50  37.50 2.000 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11       8      8  9.00      8    8 1.732 19.25  26.52 1.333 14.81</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13       7      9  9.67      9   NA 3.055 31.60  35.14 2.222 22.99</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6       6      6  6.00      6    6 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8       5      5  6.00      5    5 1.732 28.87  42.43 1.333 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5       5      6  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13      10     10 11.00     10   10 1.732 15.75  21.21 1.333 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9       8      7  8.00      8   NA 1.000 12.50  12.50 0.667  8.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5       5      5  5.00      5    5 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7       5      7  6.33      7    7 1.155 18.23  20.20 0.889 14.04</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5       4      5  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      10      9 12.00     10   NA 4.359 36.32  50.00 3.333 27.78</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10       8      8  8.67      8    8 1.155 13.32  17.68 0.889 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11       9      8  9.33      9   NA 1.528 16.37  17.57 1.111 11.90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12       7      8  9.00      8   NA 2.646 29.40  36.44 2.000 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8       7      7  7.33      7    7 0.577  7.87  10.10 0.444  6.06</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12       7      9  9.33      9   NA 2.517 26.96  28.33 1.778 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17       9     11 12.33     11   NA 4.163 33.76  40.66 3.111 25.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13      11     13 12.33     13   13 1.155  9.36  10.88 0.889  7.21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16      11     13 13.33     13   NA 2.517 18.87  19.61 1.778 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17      11     11 13.00     11   11 3.464 26.65  38.57 2.667 20.51</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15      12     12 13.00     12   12 1.732 13.32  17.68 1.333 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4       3      5  4.00      4   NA 1.000 25.00  25.00 0.667 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13       9     11 11.00     11   NA 2.000 18.18  18.18 1.333 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16      11     10 12.33     11   NA 3.215 26.06  32.78 2.444 19.82</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7       7     10  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6       5      5  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16      10     12 12.67     12   NA 3.055 24.12  26.35 2.222 17.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15      12     11 12.67     12   NA 2.082 16.43  18.63 1.556 12.28</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15      10     14 13.00     14   NA 2.646 20.35  20.82 2.000 15.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8       5      8  7.00      8    8 1.732 24.74  26.52 1.333 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19      10     14 14.33     14   NA 4.509 31.46  32.34 3.111 21.71</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      10      8  9.00      9   NA 1.000 11.11  11.11 0.667  7.41</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12       9     12 11.00     12   12 1.732 15.75  17.68 1.333 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15       8      9 10.67      9   NA 3.786 35.49  47.79 2.889 27.08</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9       5      7  7.00      7   NA 2.000 28.57  28.57 1.333 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17      11     13 13.67     13   NA 3.055 22.35  24.33 2.222 16.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23       9     10 14.00     10   NA 7.810 55.79  92.20 6.000 42.86</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16      14     15 15.00     15   NA 1.000  6.67   6.67 0.667  4.44</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      10      9 11.33     10   NA 3.215 28.36  36.06 2.444 21.57</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13       8      6  9.00      8   NA 3.606 40.06  47.60 2.667 29.63</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       PE2     D</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6   25.00 20.35</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7   19.05 15.68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8   22.22 21.17</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11  16.67 20.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14  20.83 17.44</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15  19.05 15.68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16  22.22 18.18</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17  22.22 22.53</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18  38.89 28.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19  25.00 19.88</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20   5.56  5.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22  14.29 12.03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23  20.00 16.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24   5.56  5.88</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25  16.67 20.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28  13.33 11.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29  16.67 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31   8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34  16.67 20.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35  22.22 19.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.33 28.87</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43  16.67 13.93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44  33.33 26.46</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45  22.22 19.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46  11.11 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49  14.29 13.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50   8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54  16.67 13.93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56   5.56  5.88</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57  13.33 11.76</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62   6.67  7.14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63   8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64   8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65  20.00 18.90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66  52.38 34.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67  14.29 13.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68  12.50 11.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69   8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70  16.67 14.43</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71  23.81 19.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72  11.11  9.62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73  12.50 10.58</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74  22.22 18.03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75  19.05 16.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77  33.33 28.87</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78  12.82 12.73</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80  28.57 22.27</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81  14.81 12.83</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82   9.52  8.70</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83   9.52  8.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84  26.67 21.21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85   9.52  8.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86  23.08 19.53</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87  13.33 11.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88  25.00 21.65</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89  12.50 11.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90  12.50 11.11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91  22.22 18.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92  14.29 12.03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93  14.29 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94   8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95  16.67 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99  19.05 16.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100 11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101 20.00 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102  6.67  6.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103 13.33 11.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104 16.67 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105  9.52  8.70</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106 10.00  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107  8.33  7.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108 23.81 19.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111  9.52 10.53</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114 14.29 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115  5.56  5.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116  6.67  7.14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117 26.67 20.97</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118  5.56  5.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119  8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120 11.11  9.45</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.83 16.97</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122  8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123  4.76  4.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124 18.52 15.57</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125 24.24 19.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126  5.13  5.41</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127 12.82 10.90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128 18.18 15.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129  8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130 16.67 14.43</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131 12.12 10.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132 18.18 15.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133 14.29 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134  6.67  6.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135 16.67 13.93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136 11.11  9.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137 11.90 11.75</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138 11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139 19.05 15.68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140 12.50 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141 21.43 18.16</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142  7.41  6.42</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143  8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144 11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.93 20.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146 19.05 16.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147 15.38 12.91</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148 46.67 32.21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149  4.44  3.85</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150 20.00 16.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151 29.17 23.13</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap2</span>,what<span class="op">=</span><span class="st">"precision"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    n validn R PercAgree   ASD   ACV  ACV2   AAD   APE  APE2    AD</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  151    151 3     12.58 1.487 21.77 27.52 1.104 16.19 14.76 12.57</span>
@@ -790,162 +1206,310 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> otolithC v. scaleC  30 46 25 21 29</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> finrayC v. scaleC   61 52 23  8  7</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/summary.html" class="external-link">summary</a></span><span class="op">(</span><span class="va">ap2</span>,what<span class="op">=</span><span class="st">"detail"</span>,digits<span class="op">=</span><span class="fl">3</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    otolithC finrayC scaleC  mean median mode    SD    CV   CV2    AD    PE</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2         3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3         3       3      6  4.00      3    3 1.732 43.30  70.7 1.333 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4         3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5         3       4      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6         6       3      4  4.33      4   NA 1.528 35.25  39.5 1.111 25.64</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7        10       6      7  7.67      7   NA 2.082 27.15  31.9 1.556 20.29</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8        11       9      5  8.33      9   NA 3.055 36.66  35.1 2.222 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9         4       3      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11        1       2      2  1.67      2    2 0.577 34.64  35.4 0.444 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12        3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14       11       8      6  8.33      8   NA 2.517 30.20  31.9 1.778 21.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15       10       7      6  7.67      7   NA 2.082 27.15  31.9 1.556 20.29</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16       10       6      6  7.33      6    6 2.309 31.49  47.1 1.778 24.24</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17       14      12      6 10.67     12   NA 4.163 39.03  37.3 3.111 29.17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18       13       6      6  8.33      6    6 4.041 48.50  82.5 3.111 37.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19       13       8      7  9.33      8   NA 3.215 34.44  45.1 2.444 26.19</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20        7       6      6  6.33      6    6 0.577  9.12  11.8 0.444  7.02</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21       14       7      7  9.33      7    7 4.041 43.30  70.7 3.111 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22        9       6      7  7.33      7   NA 1.528 20.83  22.6 1.111 15.15</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23        7       4      5  5.33      5   NA 1.528 28.64  31.6 1.111 20.83</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24        6       6      5  5.67      6    6 0.577 10.19  11.8 0.444  7.84</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25        6       6      3  5.00      6    6 1.732 34.64  35.4 1.333 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26        3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27        3       3      4  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28        6       4      5  5.00      5   NA 1.000 20.00  20.0 0.667 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29        4       4      6  4.67      4    4 1.155 24.74  35.4 0.889 19.05</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31        4       3      4  3.67      4    4 0.577 15.75  17.7 0.444 12.12</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34        4       2      4  3.33      4    4 1.155 34.64  35.4 0.889 26.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35        4       3      2  3.00      3   NA 1.000 33.33  33.3 0.667 22.22</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36        4       3      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38        1       3      2  2.00      2   NA 1.000 50.00  50.0 0.667 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39        1       2      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42        4       3      3  3.33      3    3 0.577 17.32  23.6 0.444 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43        8       6      5  6.33      6   NA 1.528 24.12  26.4 1.111 17.54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44        2       3      5  3.33      3   NA 1.528 45.83  52.7 1.111 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45        2       4      3  3.00      3   NA 1.000 33.33  33.3 0.667 22.22</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46        3       2      3  2.67      3    3 0.577 21.65  23.6 0.444 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47        1       1      2  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49        8       7      5  6.67      7   NA 1.528 22.91  22.6 1.111 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50        4       4      3  3.67      4    4 0.577 15.75  17.7 0.444 12.12</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51        2       2      2  2.00      2    2 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53        3       3      3  3.00      3    3 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54        8       6      5  6.33      6   NA 1.528 24.12  26.4 1.111 17.54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55        4       4      4  4.00      4    4 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56        6       6      5  5.67      6    6 0.577 10.19  11.8 0.444  7.84</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57        7       5      5  5.67      5    5 1.155 20.38  28.3 0.889 15.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60        2       1      1  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61        1       1      2  1.33      1    1 0.577 43.30  70.7 0.444 33.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62        5       5      4  4.67      5    5 0.577 12.37  14.1 0.444  9.52</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63        5       4      4  4.33      4    4 0.577 13.32  17.7 0.444 10.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64        4       4      5  4.33      4    4 0.577 13.32  17.7 0.444 10.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65        5       3      6  4.67      5   NA 1.528 32.73  31.6 1.111 23.81</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66       18       7      7 10.67      7    7 6.351 59.54 111.1 4.889 45.83</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67        7       5      8  6.67      7   NA 1.528 22.91  22.6 1.111 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68        9       6      8  7.67      8   NA 1.528 19.92  19.8 1.111 14.49</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69        5       4      4  4.33      4    4 0.577 13.32  17.7 0.444 10.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70       10       6      8  8.00      8   NA 2.000 25.00  25.0 1.333 16.67</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71       12       7      7  8.67      7    7 2.887 33.31  50.5 2.222 25.64</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72        7       6      5  6.00      6   NA 1.000 16.67  16.7 0.667 11.11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73       10       7      8  8.33      8   NA 1.528 18.33  19.8 1.111 13.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74        9       5      6  6.67      6   NA 2.082 31.22  37.3 1.556 23.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75       11       7      7  8.33      7    7 2.309 27.71  40.4 1.778 21.33</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76        1       1      1  1.00      1    1 0.000  0.00   0.0 0.000  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>      PE2     D</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1   0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  25.00 20.35</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  19.05 15.68</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  22.22 21.17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9  11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11 16.67 20.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14 20.83 17.44</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15 19.05 15.68</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16 22.22 18.18</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17 22.22 22.53</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18 38.89 28.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19 25.00 19.88</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20  5.56  5.26</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 21 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 22 14.29 12.03</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23 20.00 16.54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24  5.56  5.88</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25 16.67 20.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28 13.33 11.55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 29 16.67 14.29</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31  8.33  9.09</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34 16.67 20.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35 22.22 19.25</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38 33.33 28.87</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42 11.11 10.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43 16.67 13.93</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44 33.33 26.46</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45 22.22 19.25</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46 11.11 12.50</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49 14.29 13.23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50  8.33  9.09</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 16.67 13.93</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56  5.56  5.88</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 13.33 11.76</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59  0.00  0.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 61 33.33 25.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62  6.67  7.14</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 63  8.33  7.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 64  8.33  7.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 65 20.00 18.90</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66 52.38 34.38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 67 14.29 13.23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 68 12.50 11.50</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 69  8.33  7.69</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70 16.67 14.43</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71 23.81 19.23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72 11.11  9.62</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 73 12.50 10.58</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 74 22.22 18.03</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 75 19.05 16.00</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76  0.00  0.00</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some rows of details not shown because getOption('max.print') (=1000)</span>
-<span class="r-wrn co"><span class="r-pr">#&gt;</span>   was reached. Use at least options(max.print=1963) to see all details.</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     otolithC finrayC scaleC  mean median mode    SD    CV    CV2    AD    PE</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1          3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3          3       3      6  4.00      3    3 1.732 43.30  70.71 1.333 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4          3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5          3       4      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6          6       3      4  4.33      4   NA 1.528 35.25  39.53 1.111 25.64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7         10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8         11       9      5  8.33      9   NA 3.055 36.66  35.14 2.222 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9          4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11         1       2      2  1.67      2    2 0.577 34.64  35.36 0.444 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14        11       8      6  8.33      8   NA 2.517 30.20  31.87 1.778 21.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15        10       7      6  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16        10       6      6  7.33      6    6 2.309 31.49  47.14 1.778 24.24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17        14      12      6 10.67     12   NA 4.163 39.03  37.27 3.111 29.17</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18        13       6      6  8.33      6    6 4.041 48.50  82.50 3.111 37.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19        13       8      7  9.33      8   NA 3.215 34.44  45.07 2.444 26.19</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20         7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21        14       7      7  9.33      7    7 4.041 43.30  70.71 3.111 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23         7       4      5  5.33      5   NA 1.528 28.64  31.62 1.111 20.83</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25         6       6      3  5.00      6    6 1.732 34.64  35.36 1.333 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27         3       3      4  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28         6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29         4       4      6  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34         4       2      4  3.33      4    4 1.155 34.64  35.36 0.889 26.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35         4       3      2  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38         1       3      2  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39         1       2      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44         2       3      5  3.33      3   NA 1.528 45.83  52.70 1.111 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45         2       4      3  3.00      3   NA 1.000 33.33  33.33 0.667 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46         3       2      3  2.67      3    3 0.577 21.65  23.57 0.444 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49         8       7      5  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50         4       4      3  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51         2       2      2  2.00      2    2 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53         3       3      3  3.00      3    3 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54         8       6      5  6.33      6   NA 1.528 24.12  26.35 1.111 17.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55         4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56         6       6      5  5.67      6    6 0.577 10.19  11.79 0.444  7.84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57         7       5      5  5.67      5    5 1.155 20.38  28.28 0.889 15.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60         2       1      1  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61         1       1      2  1.33      1    1 0.577 43.30  70.71 0.444 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62         5       5      4  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64         4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65         5       3      6  4.67      5   NA 1.528 32.73  31.62 1.111 23.81</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66        18       7      7 10.67      7    7 6.351 59.54 111.12 4.889 45.83</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67         7       5      8  6.67      7   NA 1.528 22.91  22.59 1.111 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69         5       4      4  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70        10       6      8  8.00      8   NA 2.000 25.00  25.00 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71        12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72         7       6      5  6.00      6   NA 1.000 16.67  16.67 0.667 11.11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73        10       7      8  8.33      8   NA 1.528 18.33  19.76 1.111 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74         9       5      6  6.67      6   NA 2.082 31.22  37.27 1.556 23.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76         1       1      1  1.00      1    1 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77         3       2      1  2.00      2   NA 1.000 50.00  50.00 0.667 33.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78        14       9     13 12.00     13   NA 2.646 22.05  22.43 2.000 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79         8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80        12       7      6  8.33      7   NA 3.215 38.57  51.51 2.444 29.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81        11       7      9  9.00      9   NA 2.000 22.22  22.22 1.333 14.81</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82         9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84         5       4      8  5.67      5   NA 2.082 36.74  44.72 1.556 27.45</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85         8       6      7  7.00      7   NA 1.000 14.29  14.29 0.667  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86        18       9     13 13.33     13   NA 4.509 33.82  34.83 3.111 23.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87        12       8     10 10.00     10   NA 2.000 20.00  20.00 1.333 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88        11       5      8  8.00      8   NA 3.000 37.50  37.50 2.000 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89         9       6      8  7.67      8   NA 1.528 19.92  19.76 1.111 14.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90        11       8      8  9.00      8    8 1.732 19.25  26.52 1.333 14.81</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91        13       7      9  9.67      9   NA 3.055 31.60  35.14 2.222 22.99</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92         9       6      7  7.33      7   NA 1.528 20.83  22.59 1.111 15.15</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93        10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94         4       3      4  3.67      4    4 0.577 15.75  17.68 0.444 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95         6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97         4       3      3  3.33      3    3 0.577 17.32  23.57 0.444 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98         6       6      6  6.00      6    6 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99        11       7      7  8.33      7    7 2.309 27.71  40.41 1.778 21.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101        8       5      5  6.00      5    5 1.732 28.87  42.43 1.333 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102        5       5      6  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103        6       4      5  5.00      5   NA 1.000 20.00  20.00 0.667 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104        6       4      4  4.67      4    4 1.155 24.74  35.36 0.889 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105        9       7      7  7.67      7    7 1.155 15.06  20.20 0.889 11.59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106       13      10     10 11.00     10   10 1.732 15.75  21.21 1.333 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107        9       8      7  8.00      8   NA 1.000 12.50  12.50 0.667  8.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108       12       7      7  8.67      7    7 2.887 33.31  50.51 2.222 25.64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109        5       5      5  5.00      5    5 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111        7       5      7  6.33      7    7 1.155 18.23  20.20 0.889 14.04</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113        4       4      4  4.00      4    4 0.000  0.00   0.00 0.000  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114       10       7      7  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116        5       4      5  4.67      5    5 0.577 12.37  14.14 0.444  9.52</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117       17      10      9 12.00     10   NA 4.359 36.32  50.00 3.333 27.78</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118        7       6      6  6.33      6    6 0.577  9.12  11.79 0.444  7.02</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119       10       8      8  8.67      8    8 1.155 13.32  17.68 0.889 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120       11       9      8  9.33      9   NA 1.528 16.37  17.57 1.111 11.90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121       12       7      8  9.00      8   NA 2.646 29.40  36.44 2.000 22.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122        4       4      5  4.33      4    4 0.577 13.32  17.68 0.444 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123        8       7      7  7.33      7    7 0.577  7.87  10.10 0.444  6.06</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124       12       7      9  9.33      9   NA 2.517 26.96  28.33 1.778 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125       17       9     11 12.33     11   NA 4.163 33.76  40.66 3.111 25.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126       13      11     13 12.33     13   13 1.155  9.36  10.88 0.889  7.21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127       16      11     13 13.33     13   NA 2.517 18.87  19.61 1.778 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128       17      11     11 13.00     11   11 3.464 26.65  38.57 2.667 20.51</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129       15      12     12 13.00     12   12 1.732 13.32  17.68 1.333 10.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130        4       3      5  4.00      4   NA 1.000 25.00  25.00 0.667 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131       13       9     11 11.00     11   NA 2.000 18.18  18.18 1.333 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132       16      11     10 12.33     11   NA 3.215 26.06  32.78 2.444 19.82</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133        7       7     10  8.00      7    7 1.732 21.65  30.30 1.333 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134        6       5      5  5.33      5    5 0.577 10.83  14.14 0.444  8.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135       16      10     12 12.67     12   NA 3.055 24.12  26.35 2.222 17.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136       15      12     11 12.67     12   NA 2.082 16.43  18.63 1.556 12.28</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137       15      10     14 13.00     14   NA 2.646 20.35  20.82 2.000 15.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139       10       6      7  7.67      7   NA 2.082 27.15  31.94 1.556 20.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140        8       5      8  7.00      8    8 1.732 24.74  26.52 1.333 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141       19      10     14 14.33     14   NA 4.509 31.46  32.34 3.111 21.71</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142        9      10      8  9.00      9   NA 1.000 11.11  11.11 0.667  7.41</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143       12       9     12 11.00     12   12 1.732 15.75  17.68 1.333 12.12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144        8       6      6  6.67      6    6 1.155 17.32  23.57 0.889 13.33</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145       15       8      9 10.67      9   NA 3.786 35.49  47.79 2.889 27.08</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146        9       5      7  7.00      7   NA 2.000 28.57  28.57 1.333 19.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147       17      11     13 13.67     13   NA 3.055 22.35  24.33 2.222 16.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148       23       9     10 14.00     10   NA 7.810 55.79  92.20 6.000 42.86</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149       16      14     15 15.00     15   NA 1.000  6.67   6.67 0.667  4.44</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150       15      10      9 11.33     10   NA 3.215 28.36  36.06 2.444 21.57</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151       13       8      6  9.00      8   NA 3.606 40.06  47.60 2.667 29.63</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       PE2     D</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1    0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3   33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6   25.00 20.35</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7   19.05 15.68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8   22.22 21.17</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9   11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11  16.67 20.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14  20.83 17.44</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15  19.05 15.68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16  22.22 18.18</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17  22.22 22.53</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18  38.89 28.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19  25.00 19.88</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20   5.56  5.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 22  14.29 12.03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23  20.00 16.54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 24   5.56  5.88</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 25  16.67 20.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 26  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 27  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 28  13.33 11.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 29  16.67 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 30   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 31   8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 33   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34  16.67 20.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35  22.22 19.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 36  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 37   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 38  33.33 28.87</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 39  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 40  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 41  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 42  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 43  16.67 13.93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44  33.33 26.46</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 45  22.22 19.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46  11.11 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 47  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 48   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 49  14.29 13.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 50   8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 52   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 54  16.67 13.93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 56   5.56  5.88</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57  13.33 11.76</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 59   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 60  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 61  33.33 25.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 62   6.67  7.14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 63   8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64   8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 65  20.00 18.90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 66  52.38 34.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 67  14.29 13.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68  12.50 11.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69   8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 70  16.67 14.43</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 71  23.81 19.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 72  11.11  9.62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 73  12.50 10.58</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 74  22.22 18.03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 75  19.05 16.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 76   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 77  33.33 28.87</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 78  12.82 12.73</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 79  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 80  28.57 22.27</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81  14.81 12.83</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 82   9.52  8.70</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 83   9.52  8.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 84  26.67 21.21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 85   9.52  8.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 86  23.08 19.53</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 87  13.33 11.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88  25.00 21.65</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 89  12.50 11.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 90  12.50 11.11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 91  22.22 18.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 92  14.29 12.03</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93  14.29 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 94   8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 95  16.67 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 96  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97  11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 98   0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 99  19.05 16.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100 11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 101 20.00 16.67</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102  6.67  6.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 103 13.33 11.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104 16.67 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 105  9.52  8.70</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 106 10.00  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 107  8.33  7.22</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 108 23.81 19.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 109  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 110  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 111  9.52 10.53</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 112  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 113  0.00  0.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 114 14.29 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 115  5.56  5.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116  6.67  7.14</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 117 26.67 20.97</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 118  5.56  5.26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 119  8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 120 11.11  9.45</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121 20.83 16.97</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 122  8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 123  4.76  4.55</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 124 18.52 15.57</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 125 24.24 19.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 126  5.13  5.41</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 127 12.82 10.90</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 128 18.18 15.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 129  8.33  7.69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 130 16.67 14.43</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 131 12.12 10.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 132 18.18 15.05</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 133 14.29 12.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 134  6.67  6.25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 135 16.67 13.93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136 11.11  9.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 137 11.90 11.75</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 138 11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 139 19.05 15.68</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 140 12.50 14.29</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 141 21.43 18.16</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 142  7.41  6.42</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 143  8.33  9.09</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 144 11.11 10.00</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 145 25.93 20.49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 146 19.05 16.50</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 147 15.38 12.91</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148 46.67 32.21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 149  4.44  3.85</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 150 20.00 16.38</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 151 29.17 23.13</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="va">AD</span><span class="op">~</span><span class="va">mean</span>,data<span class="op">=</span><span class="va">ap2</span><span class="op">$</span><span class="va">detail</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="fu"><a href="col2rgbt.html">col2rgbt</a></span><span class="op">(</span><span class="st">"black"</span>,<span class="fl">1</span><span class="op">/</span><span class="fl">5</span><span class="op">)</span>,</span></span>
 <span class="r-in"><span>     xlab<span class="op">=</span><span class="st">"Mean Age"</span>,ylab<span class="op">=</span><span class="st">"Absolute Deviation Age"</span><span class="op">)</span></span></span>
@@ -974,7 +1538,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/alkAgeDist.html b/docs/reference/alkAgeDist.html
index bfd6f3e5..3ab44115 100644
--- a/docs/reference/alkAgeDist.html
+++ b/docs/reference/alkAgeDist.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -179,7 +179,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/alkIndivAge.html b/docs/reference/alkIndivAge.html
index 36016b55..ad65ce2c 100644
--- a/docs/reference/alkIndivAge.html
+++ b/docs/reference/alkIndivAge.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -194,24 +194,24 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># mean length-at-age</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="Summarize.html">Summarize</a></span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">age</span>,data<span class="op">=</span><span class="va">WR1.comb</span>,digits<span class="op">=</span><span class="fl">2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   age   n   mean   sd min     Q1 median     Q3 max</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1   4 986  51.86 5.15  35  48.00   52.0  56.00  64</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2   5 396  71.74 5.37  60  68.00   72.0  76.00  84</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3   6 270  86.63 4.61  75  83.00   87.0  89.00  98</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4   7 449  97.60 5.23  86  93.00   97.0 102.00 114</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5   8 146 101.18 5.54  91  97.00  101.0 106.75 113</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6   9  78 103.90 3.35 100 101.25  103.0 105.75 113</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  10  38 105.03 7.17  95  98.00  106.5 109.75 119</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  11   6 111.67 1.21 110 111.00  111.5 112.75 113</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   4 986  51.85 5.14  35  48.00     52  56.00  64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   5 397  71.74 5.33  60  68.00     72  76.00  84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3   6 269  86.77 4.65  75  83.00     87  89.00  99</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4   7 451  97.66 5.26  85  93.00     97 102.00 113</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5   8 145 101.02 5.79  90  97.00    101 106.00 114</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6   9  77 103.75 3.35 100 101.00    103 105.00 113</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7  10  38 104.89 7.32  95  97.00    107 109.75 119</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8  11   6 111.67 1.51 110 110.25    112 113.00 113</span>
 <span class="r-in"><span><span class="co"># age frequency distribution</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">af</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">age</span>,data<span class="op">=</span><span class="va">WR1.comb</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> age</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   4   5   6   7   8   9  10  11 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 986 396 270 449 146  78  38   6 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 986 397 269 451 145  77  38   6 </span>
 <span class="r-in"><span><span class="co"># proportional age distribution</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">ap</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/proportions.html" class="external-link">prop.table</a></span><span class="op">(</span><span class="va">af</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> age</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>           4           5           6           7           8           9 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 0.416209371 0.167159139 0.113972140 0.189531448 0.061629379 0.032925285 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0.416209371 0.167581258 0.113550021 0.190375686 0.061207260 0.032503166 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>          10          11 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 0.016040523 0.002532714 </span>
 <span class="r-in"><span></span></span>
@@ -281,10 +281,10 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">WR2.comb</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">WR2.age</span>, <span class="va">WR2.len</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="Summarize.html">Summarize</a></span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">age</span>,data<span class="op">=</span><span class="va">WR2.comb</span>,digits<span class="op">=</span><span class="fl">2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   age   n   mean   sd min  Q1 median     Q3 max</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1   4 986  51.84 5.12  35  48   52.0  56.00  64</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2   5 396  71.78 5.32  60  68   72.0  76.00  84</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3   6 270  86.73 4.78  75  83   87.0  89.00  99</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4   7 451  97.56 5.21  86  93   97.0 101.50 113</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   4 987  51.87 5.15  35  48   52.0  56.00  64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2   5 395  71.77 5.35  60  68   72.0  76.00  84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3   6 270  86.71 4.76  75  83   87.0  89.00  99</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4   7 451  97.57 5.19  85  93   97.0 101.50 113</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 5   8 145 101.32 5.82  90  97  102.0 106.00 113</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 6   9  77 103.66 3.23 100 101  103.0 105.00 113</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 7  10  38 104.87 7.17  95  97  106.5 109.75 119</span>
@@ -376,7 +376,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/alkMeanVar.html b/docs/reference/alkMeanVar.html
index c388e9b2..4d64e0be 100644
--- a/docs/reference/alkMeanVar.html
+++ b/docs/reference/alkMeanVar.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -205,7 +205,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/alkPlot-1.png b/docs/reference/alkPlot-1.png
index e1cc6d6e..2a1fc60d 100644
Binary files a/docs/reference/alkPlot-1.png and b/docs/reference/alkPlot-1.png differ
diff --git a/docs/reference/alkPlot-10.png b/docs/reference/alkPlot-10.png
index be9aed3a..fe88d95a 100644
Binary files a/docs/reference/alkPlot-10.png and b/docs/reference/alkPlot-10.png differ
diff --git a/docs/reference/alkPlot-2.png b/docs/reference/alkPlot-2.png
index 7ed9beb7..a2f5d519 100644
Binary files a/docs/reference/alkPlot-2.png and b/docs/reference/alkPlot-2.png differ
diff --git a/docs/reference/alkPlot-3.png b/docs/reference/alkPlot-3.png
index 9d936d80..ab6e6842 100644
Binary files a/docs/reference/alkPlot-3.png and b/docs/reference/alkPlot-3.png differ
diff --git a/docs/reference/alkPlot-4.png b/docs/reference/alkPlot-4.png
index 9495a00a..980fe8f6 100644
Binary files a/docs/reference/alkPlot-4.png and b/docs/reference/alkPlot-4.png differ
diff --git a/docs/reference/alkPlot-5.png b/docs/reference/alkPlot-5.png
index ce56e18e..27c3d6d4 100644
Binary files a/docs/reference/alkPlot-5.png and b/docs/reference/alkPlot-5.png differ
diff --git a/docs/reference/alkPlot-6.png b/docs/reference/alkPlot-6.png
index b9924d67..38df5c88 100644
Binary files a/docs/reference/alkPlot-6.png and b/docs/reference/alkPlot-6.png differ
diff --git a/docs/reference/alkPlot-7.png b/docs/reference/alkPlot-7.png
index 1b1b9083..62d65d66 100644
Binary files a/docs/reference/alkPlot-7.png and b/docs/reference/alkPlot-7.png differ
diff --git a/docs/reference/alkPlot-8.png b/docs/reference/alkPlot-8.png
index c8e67965..85dc7340 100644
Binary files a/docs/reference/alkPlot-8.png and b/docs/reference/alkPlot-8.png differ
diff --git a/docs/reference/alkPlot-9.png b/docs/reference/alkPlot-9.png
index 22949976..e36d4756 100644
Binary files a/docs/reference/alkPlot-9.png and b/docs/reference/alkPlot-9.png differ
diff --git a/docs/reference/alkPlot.html b/docs/reference/alkPlot.html
index db3b9136..bf426cdf 100644
--- a/docs/reference/alkPlot.html
+++ b/docs/reference/alkPlot.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -223,7 +223,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/binCI.html b/docs/reference/binCI.html
index cf341607..ff8c8066 100644
--- a/docs/reference/binCI.html
+++ b/docs/reference/binCI.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -157,7 +157,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/capHistConvert.html b/docs/reference/capHistConvert.html
index 29d26879..ea5add01 100644
--- a/docs/reference/capHistConvert.html
+++ b/docs/reference/capHistConvert.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -645,7 +645,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/capHistSum-1.png b/docs/reference/capHistSum-1.png
index 48bc9f24..3d3d305a 100644
Binary files a/docs/reference/capHistSum-1.png and b/docs/reference/capHistSum-1.png differ
diff --git a/docs/reference/capHistSum-2.png b/docs/reference/capHistSum-2.png
index fa3dc87b..0c0180e0 100644
Binary files a/docs/reference/capHistSum-2.png and b/docs/reference/capHistSum-2.png differ
diff --git a/docs/reference/capHistSum-3.png b/docs/reference/capHistSum-3.png
index 19bdbdcc..d481728a 100644
Binary files a/docs/reference/capHistSum-3.png and b/docs/reference/capHistSum-3.png differ
diff --git a/docs/reference/capHistSum.html b/docs/reference/capHistSum.html
index f9ea0855..2f9d5c4d 100644
--- a/docs/reference/capHistSum.html
+++ b/docs/reference/capHistSum.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -313,7 +313,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/catchCurve-1.png b/docs/reference/catchCurve-1.png
index d080eeba..3ed5bf97 100644
Binary files a/docs/reference/catchCurve-1.png and b/docs/reference/catchCurve-1.png differ
diff --git a/docs/reference/catchCurve-2.png b/docs/reference/catchCurve-2.png
index dbf648bb..c07abcaf 100644
Binary files a/docs/reference/catchCurve-2.png and b/docs/reference/catchCurve-2.png differ
diff --git a/docs/reference/catchCurve-3.png b/docs/reference/catchCurve-3.png
index 7a322036..9f15d667 100644
Binary files a/docs/reference/catchCurve-3.png and b/docs/reference/catchCurve-3.png differ
diff --git a/docs/reference/catchCurve-4.png b/docs/reference/catchCurve-4.png
index 458c7ec1..a9b5d2d7 100644
Binary files a/docs/reference/catchCurve-4.png and b/docs/reference/catchCurve-4.png differ
diff --git a/docs/reference/catchCurve-5.png b/docs/reference/catchCurve-5.png
index 55a26405..c2063da1 100644
Binary files a/docs/reference/catchCurve-5.png and b/docs/reference/catchCurve-5.png differ
diff --git a/docs/reference/catchCurve.html b/docs/reference/catchCurve.html
index b57ff077..67b34c44 100644
--- a/docs/reference/catchCurve.html
+++ b/docs/reference/catchCurve.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -316,7 +316,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> (Intercept)   6.0086     0.5475  10.974  0.00162 **</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> age.e        -0.6430     0.1417  -4.536  0.02005 * </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Residual standard error: 0.7988 on 3 degrees of freedom</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Multiple R-squared:  0.8728,	Adjusted R-squared:  0.8304 </span>
@@ -408,14 +408,14 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="op">}</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Loading required package: dplyr</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Attaching package: ‘dplyr’</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> The following object is masked from ‘package:car’:</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Attaching package: 'dplyr'</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> The following object is masked from 'package:car':</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span>     recode</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> The following objects are masked from ‘package:stats’:</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> The following objects are masked from 'package:stats':</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span>     filter, lag</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> The following objects are masked from ‘package:base’:</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> The following objects are masked from 'package:base':</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span>     intersect, setdiff, setequal, union</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>      river         Z     Z_LCI     Z_UCI        A    A_LCI    A_UCI</span>
@@ -467,7 +467,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/chapmanRobson-1.png b/docs/reference/chapmanRobson-1.png
index d080eeba..3ed5bf97 100644
Binary files a/docs/reference/chapmanRobson-1.png and b/docs/reference/chapmanRobson-1.png differ
diff --git a/docs/reference/chapmanRobson-2.png b/docs/reference/chapmanRobson-2.png
index 6de6be1d..2cf852eb 100644
Binary files a/docs/reference/chapmanRobson-2.png and b/docs/reference/chapmanRobson-2.png differ
diff --git a/docs/reference/chapmanRobson-3.png b/docs/reference/chapmanRobson-3.png
index 201fbd02..637ab656 100644
Binary files a/docs/reference/chapmanRobson-3.png and b/docs/reference/chapmanRobson-3.png differ
diff --git a/docs/reference/chapmanRobson-4.png b/docs/reference/chapmanRobson-4.png
index db7d565a..e3cfadf4 100644
Binary files a/docs/reference/chapmanRobson-4.png and b/docs/reference/chapmanRobson-4.png differ
diff --git a/docs/reference/chapmanRobson-5.png b/docs/reference/chapmanRobson-5.png
index 6de6be1d..2cf852eb 100644
Binary files a/docs/reference/chapmanRobson-5.png and b/docs/reference/chapmanRobson-5.png differ
diff --git a/docs/reference/chapmanRobson-6.png b/docs/reference/chapmanRobson-6.png
index c39069ba..d70f4c77 100644
Binary files a/docs/reference/chapmanRobson-6.png and b/docs/reference/chapmanRobson-6.png differ
diff --git a/docs/reference/chapmanRobson.html b/docs/reference/chapmanRobson.html
index 22f3f321..bc79f80a 100644
--- a/docs/reference/chapmanRobson.html
+++ b/docs/reference/chapmanRobson.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -405,7 +405,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/col2rgbt.html b/docs/reference/col2rgbt.html
index e5e7ebe5..32885bfa 100644
--- a/docs/reference/col2rgbt.html
+++ b/docs/reference/col2rgbt.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -102,7 +102,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/depletion-1.png b/docs/reference/depletion-1.png
index 281cd37c..a2bde566 100644
Binary files a/docs/reference/depletion-1.png and b/docs/reference/depletion-1.png differ
diff --git a/docs/reference/depletion-2.png b/docs/reference/depletion-2.png
index 7cb9de29..769312ec 100644
Binary files a/docs/reference/depletion-2.png and b/docs/reference/depletion-2.png differ
diff --git a/docs/reference/depletion-3.png b/docs/reference/depletion-3.png
index 07454464..45717e54 100644
Binary files a/docs/reference/depletion-3.png and b/docs/reference/depletion-3.png differ
diff --git a/docs/reference/depletion.html b/docs/reference/depletion.html
index 8017a865..81d3bcb7 100644
--- a/docs/reference/depletion.html
+++ b/docs/reference/depletion.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -371,7 +371,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/dunnTest.html b/docs/reference/dunnTest.html
index edf40b9e..86dceddf 100644
--- a/docs/reference/dunnTest.html
+++ b/docs/reference/dunnTest.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -273,7 +273,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/expandCounts.html b/docs/reference/expandCounts.html
index 4e83f083..e00e85f2 100644
--- a/docs/reference/expandCounts.html
+++ b/docs/reference/expandCounts.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -161,23 +161,23 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-msg co"><span class="r-pr">#&gt;</span>   2 rows had an individual measurement.</span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span>   4 rows with multiple measurements were expanded to 15 rows of individual measurements.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>       name lwr.bin upr.bin newlen         lennote</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1    Frank    17.0    17.5   17.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2      Max    17.0    17.5   17.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  Johnson    15.0    15.5   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  Johnson    15.0    15.5   15.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  Johnson    15.0    15.5   15.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1    Frank    17.0    17.5   17.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 2      Max    17.0    17.5   17.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  Johnson    15.0    15.5   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4  Johnson    15.0    15.5   15.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5  Johnson    15.0    15.5   15.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.4 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 8  Johnson    15.0    15.5   15.4 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 9  Johnson    15.5    16.0   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.5    16.0   15.8 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.5    16.0   15.7 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.5    16.0   15.7 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    16.0   15.9 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.1 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    16.0   15.7 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.0 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 16   Frank    16.0    16.5   16.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.5   16.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.5   16.4 Expanded length</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># some need expansion</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">d2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>name<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Johnson"</span>,<span class="st">"Johnson"</span>,<span class="st">"Jones"</span>,<span class="st">"Frank"</span>,<span class="st">"Frank"</span>,<span class="st">"Max"</span><span class="op">)</span>,</span></span>
@@ -220,21 +220,21 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>       name lwr.bin upr.bin newlen         lennote</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1    Frank    17.1    17.1   17.1 Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2      Max    17.3    17.3   17.3 Observed length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  Johnson    15.0    15.5   15.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  Johnson    15.0    15.5   15.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  Johnson    15.0    15.5   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4  Johnson    15.0    15.5   15.5 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 5  Johnson    15.0    15.5   15.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  Johnson    15.0    15.5   15.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8  Johnson    15.0    15.5   15.5 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 9  Johnson    15.5    16.0   15.8 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.5    16.0   16.0 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.5    16.0   15.6 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    16.0   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.3 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    16.0   15.6 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.1 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16   Frank    16.0    16.5   16.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.5   16.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16   Frank    16.0    16.5   16.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.5   16.0 Expanded length</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># none need expansion</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">d3</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>name<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Johnson"</span>,<span class="st">"Johnson"</span>,<span class="st">"Jones"</span>,<span class="st">"Frank"</span>,<span class="st">"Frank"</span>,<span class="st">"Max"</span><span class="op">)</span>,</span></span>
@@ -334,21 +334,21 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>       name lwr.bin upr.bin newlen         lennote</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1    Frank    17.1    17.1   17.1 Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2      Max    17.3    17.3   17.3 Observed length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  Johnson    15.0    15.5   15.1 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4  Johnson    15.0    15.5   15.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5  Johnson    15.0    15.5   15.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  Johnson    15.0    15.5   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 3  Johnson    15.0    15.5   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4  Johnson    15.0    15.5   15.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5  Johnson    15.0    15.5   15.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.3 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8  Johnson    15.0    15.5   15.1 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 9  Johnson    15.0    15.9   15.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.0    15.9   15.8 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.0    15.9   15.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.0    15.9   15.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.2 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.9   16.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.0    15.9   15.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.0    15.9   15.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.0    15.9   15.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.3 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.9   16.6 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 16   Frank    16.0    16.9   16.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.9   16.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.9   16.2 Expanded length</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># some need expansion but include zeros and NAs for counts</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">d2a</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>name<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Johnson"</span>,<span class="st">"Johnson"</span>,<span class="st">"Jones"</span>,<span class="st">"Frank"</span>,<span class="st">"Frank"</span>,<span class="st">"Max"</span>,<span class="st">"Max"</span>,<span class="st">"Max"</span>,<span class="st">"Max"</span><span class="op">)</span>,</span></span>
@@ -376,20 +376,20 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 3      Max      NA      NA     NA Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 4    Frank    17.1    17.1   17.1 Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 5      Max    17.3    17.3   17.3 Observed length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8  Johnson    15.0    15.5   15.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9  Johnson    15.0    15.5   15.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.0    15.5   15.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.0    15.5   15.3 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    16.0   16.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13 Johnson    15.5    16.0   15.6 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6  Johnson    15.0    15.5   15.3 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Johnson    15.0    15.5   15.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8  Johnson    15.0    15.5   15.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9  Johnson    15.0    15.5   15.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.0    15.5   15.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.0    15.5   15.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    16.0   15.8 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13 Johnson    15.5    16.0   15.8 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 14 Johnson    15.5    16.0   15.6 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15 Johnson    15.5    16.0   15.6 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16   Jones    16.0    16.5   16.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Jones    16.0    16.5   16.5 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18   Frank    16.0    16.5   16.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19   Frank    16.0    16.5   16.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15 Johnson    15.5    16.0   15.8 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16   Jones    16.0    16.5   16.3 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Jones    16.0    16.5   16.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18   Frank    16.0    16.5   16.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19   Frank    16.0    16.5   16.3 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 20   Frank    16.0    16.5   16.4 Expanded length</span>
 <span class="r-in"><span> </span></span>
 <span class="r-in"><span><span class="co"># some need expansion but include NAs for upper values</span></span></span>
@@ -421,11 +421,11 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.5    15.5   15.5 Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.5    15.5   15.5 Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    15.5   15.5 Observed length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.0 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.1 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.1 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16   Frank    16.0    16.5   16.3 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.5   16.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.4 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16   Frank    16.0    16.5   16.5 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.5   16.3 Expanded length</span>
 <span class="r-in"><span> </span></span>
 <span class="r-in"><span><span class="co"># some need expansion but include NAs for upper values</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">d2c</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>name<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Johnson"</span>,<span class="st">"Johnson"</span>,<span class="st">"Jones"</span>,<span class="st">"Frank"</span>,<span class="st">"Frank"</span>,<span class="st">"Max"</span><span class="op">)</span>,</span></span>
@@ -456,9 +456,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 10 Johnson    15.5    15.5   15.5 Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 11 Johnson    15.5    15.5   15.5 Observed length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 12 Johnson    15.5    15.5   15.5 Observed length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.3 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.4 Expanded length</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.2 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13   Jones    16.0    16.5   16.1 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14   Jones    16.0    16.5   16.0 Expanded length</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15   Frank    16.0    16.5   16.1 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 16   Frank    16.0    16.5   16.5 Expanded length</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 17   Frank    16.0    16.5   16.5 Expanded length</span>
 <span class="r-in"><span></span></span>
@@ -495,7 +495,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/expandLenFreq.html b/docs/reference/expandLenFreq.html
index 03a5b09e..aff309a2 100644
--- a/docs/reference/expandLenFreq.html
+++ b/docs/reference/expandLenFreq.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -244,7 +244,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/extraTests.html b/docs/reference/extraTests.html
index e14360ac..09ed0a4c 100644
--- a/docs/reference/extraTests.html
+++ b/docs/reference/extraTests.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -131,7 +131,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 282.400   7  27.617  2 254.783 32.290 0.0002925 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8  67.988   7  27.617  1  40.371 10.233 0.0150891 *  </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span><span class="fu">lrt</span><span class="op">(</span><span class="va">fit.0</span>,<span class="va">fit.1</span>,com<span class="op">=</span><span class="va">fit.2</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Loading required namespace: lmtest</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Model 1: y ~ 1</span>
@@ -142,7 +142,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 -30.8931   7 -19.2686  2 -11.6245 23.2491  8.944e-06 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8 -23.7731   7 -19.2686  1  -4.5045  9.0091   0.002686 ** </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># ... show labels for models</span></span></span>
 <span class="r-in"><span><span class="fu">extraSS</span><span class="op">(</span><span class="va">fit.0</span>,<span class="va">fit.1</span>,com<span class="op">=</span><span class="va">fit.2</span>,</span></span>
@@ -155,7 +155,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 282.400   7  27.617  2 254.783 32.290 0.0002925 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8  67.988   7  27.617  1  40.371 10.233 0.0150891 *  </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span><span class="fu">lrt</span><span class="op">(</span><span class="va">fit.0</span>,<span class="va">fit.1</span>,com<span class="op">=</span><span class="va">fit.2</span>,</span></span>
 <span class="r-in"><span>    sim.names<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Null Model"</span>,<span class="st">"Linear"</span><span class="op">)</span>,com.name<span class="op">=</span><span class="st">"Quadratic"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Model 1: Null Model</span>
@@ -166,7 +166,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 -30.8931   7 -19.2686  2 -11.6245 23.2491  8.944e-06 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8 -23.7731   7 -19.2686  1  -4.5045  9.0091   0.002686 ** </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#  ... dummy variable regression</span></span></span>
 <span class="r-in"><span><span class="va">fit.2b</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">x</span><span class="op">*</span><span class="va">z</span>,data<span class="op">=</span><span class="va">df</span><span class="op">)</span></span></span>
@@ -179,7 +179,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 282.400   6  17.800  3 264.600 29.7303 0.0005347 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8  67.988   6  17.800  2  50.188  8.4586 0.0179459 *  </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span><span class="fu">lrt</span><span class="op">(</span><span class="va">fit.0</span>,<span class="va">fit.1</span>,com<span class="op">=</span><span class="va">fit.2b</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Model 1: y ~ 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Model 2: y ~ x</span>
@@ -189,7 +189,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 -30.8931   6 -17.0725  3 -13.8206 27.641  4.319e-06 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8 -23.7731   6 -17.0725  2  -6.7007 13.401    0.00123 ** </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#  ... ANOVAs</span></span></span>
 <span class="r-in"><span><span class="va">fit.1</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="va">y</span><span class="op">~</span><span class="va">w</span>,data<span class="op">=</span><span class="va">df</span><span class="op">)</span></span></span>
@@ -211,7 +211,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 -30.8931   6 -28.0210  3  -2.8721 5.7442    0.12474  </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8 -30.5334   6 -28.0210  2  -2.5124 5.0249    0.08107 .</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Non-linear (nls()) models</span></span></span>
@@ -227,7 +227,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 282.400   7  27.617  2 254.783 32.290 0.0002925 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8  67.988   7  27.617  1  40.371 10.233 0.0150891 *  </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span><span class="fu">lrt</span><span class="op">(</span><span class="va">fit.0</span>,<span class="va">fit.1</span>,com<span class="op">=</span><span class="va">fit.2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Model 1: y ~ c</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Model 2: y ~ a * x + c</span>
@@ -237,7 +237,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1vA   9 -30.8931   7 -19.2686  2 -11.6245 23.2491  8.944e-06 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2vA   8 -23.7731   7 -19.2686  1  -4.5045  9.0091   0.002686 ** </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## General least-squares (gls()) models</span></span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
@@ -261,7 +261,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/fact2num.html b/docs/reference/fact2num.html
index be9b0867..bf59ba15 100644
--- a/docs/reference/fact2num.html
+++ b/docs/reference/fact2num.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -85,7 +85,6 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">bad2</span> <span class="op">&lt;-</span> <span class="fu">fact2num</span><span class="op">(</span><span class="va">bad</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="op">}</span>  <span class="co">## END IF INTERACTIVE MODE</span></span></span>
-<span class="r-err co"><span class="r-pr">#&gt;</span> <span class="error">Error:</span> Conversion aborted because all levels in 'object' are not 'numbers'.</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -98,7 +97,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/fishR.html b/docs/reference/fishR.html
index 4bfcda63..d88d1a99 100644
--- a/docs/reference/fishR.html
+++ b/docs/reference/fishR.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -100,7 +100,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/geomean.html b/docs/reference/geomean.html
index 76d9af7e..4c1a5b77 100644
--- a/docs/reference/geomean.html
+++ b/docs/reference/geomean.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -94,9 +94,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co"># d has a mean on log scale of 0; thus, gm should be exp(0)~=1</span></span></span>
 <span class="r-in"><span><span class="co"># d has a sd on log scale of 1; thus, gsd should be exp(1)~=2.7</span></span></span>
 <span class="r-in"><span><span class="fu">geomean</span><span class="op">(</span><span class="va">d</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.934946</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 0.9476784</span>
 <span class="r-in"><span><span class="fu">geosd</span><span class="op">(</span><span class="va">d</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.663484</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 2.670075</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="cn">FALSE</span><span class="op">)</span> <span class="op">{</span> <span class="co"># \dontrun{</span></span></span>
 <span class="r-in"><span><span class="co">## Demonstrate handling of zeros and negative values</span></span></span>
@@ -118,7 +118,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/growthModels-1.png b/docs/reference/growthModels-1.png
index 899b161e..73fa6f22 100644
Binary files a/docs/reference/growthModels-1.png and b/docs/reference/growthModels-1.png differ
diff --git a/docs/reference/growthModels-10.png b/docs/reference/growthModels-10.png
index aae2813d..80bd9960 100644
Binary files a/docs/reference/growthModels-10.png and b/docs/reference/growthModels-10.png differ
diff --git a/docs/reference/growthModels-11.png b/docs/reference/growthModels-11.png
index 5fc16f99..75fb060d 100644
Binary files a/docs/reference/growthModels-11.png and b/docs/reference/growthModels-11.png differ
diff --git a/docs/reference/growthModels-12.png b/docs/reference/growthModels-12.png
index f5a214b6..7b59260d 100644
Binary files a/docs/reference/growthModels-12.png and b/docs/reference/growthModels-12.png differ
diff --git a/docs/reference/growthModels-13.png b/docs/reference/growthModels-13.png
index 739208f5..2ff2f907 100644
Binary files a/docs/reference/growthModels-13.png and b/docs/reference/growthModels-13.png differ
diff --git a/docs/reference/growthModels-2.png b/docs/reference/growthModels-2.png
index 90232f5c..2446fa4a 100644
Binary files a/docs/reference/growthModels-2.png and b/docs/reference/growthModels-2.png differ
diff --git a/docs/reference/growthModels-3.png b/docs/reference/growthModels-3.png
index 15be7fdc..fb0ef4c3 100644
Binary files a/docs/reference/growthModels-3.png and b/docs/reference/growthModels-3.png differ
diff --git a/docs/reference/growthModels-4.png b/docs/reference/growthModels-4.png
index 4aac9052..1240d885 100644
Binary files a/docs/reference/growthModels-4.png and b/docs/reference/growthModels-4.png differ
diff --git a/docs/reference/growthModels-5.png b/docs/reference/growthModels-5.png
index 3a0bc3ba..a59ea0fd 100644
Binary files a/docs/reference/growthModels-5.png and b/docs/reference/growthModels-5.png differ
diff --git a/docs/reference/growthModels-6.png b/docs/reference/growthModels-6.png
index bd454d01..db8d3484 100644
Binary files a/docs/reference/growthModels-6.png and b/docs/reference/growthModels-6.png differ
diff --git a/docs/reference/growthModels-7.png b/docs/reference/growthModels-7.png
index 2bb1c839..09687d39 100644
Binary files a/docs/reference/growthModels-7.png and b/docs/reference/growthModels-7.png differ
diff --git a/docs/reference/growthModels-8.png b/docs/reference/growthModels-8.png
index fcee5346..2ce03b7d 100644
Binary files a/docs/reference/growthModels-8.png and b/docs/reference/growthModels-8.png differ
diff --git a/docs/reference/growthModels-9.png b/docs/reference/growthModels-9.png
index 6fd2f370..b3ceebbb 100644
Binary files a/docs/reference/growthModels-9.png and b/docs/reference/growthModels-9.png differ
diff --git a/docs/reference/growthModels.html b/docs/reference/growthModels.html
index c0418063..200433c3 100644
--- a/docs/reference/growthModels.html
+++ b/docs/reference/growthModels.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -188,209 +188,263 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="co">## Simple Examples -- Von B</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">vb1</span> <span class="op">&lt;-</span> <span class="fu">vbFuns</span><span class="op">(</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'vbFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,K=NULL,t0=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==3) { K &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     t0 &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf*(1-exp(-K*(t-t0)))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b13b7d3be0&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13bb5f878&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, K = NULL, t0 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         K &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         t0 &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf * (1 - exp(-K * (t - t0)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d723c69fb8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d7267177d0&gt;</span>
 <span class="r-in"><span><span class="va">ages</span> <span class="op">&lt;-</span> <span class="fl">0</span><span class="op">:</span><span class="fl">20</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">vb1</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">20</span>,K<span class="op">=</span><span class="fl">0.3</span>,t0<span class="op">=</span><span class="op">-</span><span class="fl">0.2</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-1.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">vb2</span> <span class="op">&lt;-</span> <span class="fu">vbFuns</span><span class="op">(</span><span class="st">"Francis"</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'vbFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,L1,L2=NULL,L3=NULL,t1,t3=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(L1)==3) { L2 &lt;- L1[[2]]; L3 &lt;- L1[[3]]; L1 &lt;- L1[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(t1)==2) { t3 &lt;- t1[[2]]; t1 &lt;- t1[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     r &lt;- (L3-L2)/(L2-L1)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L1+(L3-L1)*((1-r^(2*((t-t1)/(t3-t1))))/(1-r^2))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b13b8875f0&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13be34878&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, L1, L2 = NULL, L3 = NULL, t1, t3 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(L1) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L2 &lt;- L1[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L3 &lt;- L1[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L1 &lt;- L1[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(t1) == 2) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         t3 &lt;- t1[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         t1 &lt;- t1[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     r &lt;- (L3 - L2)/(L2 - L1)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     L1 + (L3 - L1) * ((1 - r^(2 * ((t - t1)/(t3 - t1))))/(1 - </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         r^2))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d723c47ab0&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d725261d88&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">vb2</span><span class="op">(</span><span class="va">ages</span>,L1<span class="op">=</span><span class="fl">10</span>,L2<span class="op">=</span><span class="fl">19</span>,L3<span class="op">=</span><span class="fl">20</span>,t1<span class="op">=</span><span class="fl">2</span>,t3<span class="op">=</span><span class="fl">18</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-2.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">vb2c</span> <span class="op">&lt;-</span> <span class="fu">vbFuns</span><span class="op">(</span><span class="st">"Francis"</span>,simple<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span> <span class="op">)</span>   <span class="co"># compare to vb2</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'vbFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,L1,L2,L3,t1,t3) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     r &lt;- (L3-L2)/(L2-L1)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L1+(L3-L1)*((1-r^(2*((t-t1)/(t3-t1))))/(1-r^2))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b13b8a69c8&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13c5a2618&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, L1, L2, L3, t1, t3) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     r &lt;- (L3 - L2)/(L2 - L1)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     L1 + (L3 - L1) * ((1 - r^(2 * ((t - t1)/(t3 - t1))))/(1 - </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         r^2))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d723c458f0&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d724b6f538&gt;</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Simple Examples -- Gompertz</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">gomp1</span> <span class="op">&lt;-</span> <span class="fu">GompertzFuns</span><span class="op">(</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'GompertzFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,gi=NULL,ti=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==3) { gi &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     ti &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf*exp(-exp(-gi*(t-ti)))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b13c8673f0&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13c832670&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, gi = NULL, ti = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         gi &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         ti &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf * exp(-exp(-gi * (t - ti)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d728867ae8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d728859880&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">gomp1</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,gi<span class="op">=</span><span class="fl">0.5</span>,ti<span class="op">=</span><span class="fl">5</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-3.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">gomp2</span> <span class="op">&lt;-</span> <span class="fu">GompertzFuns</span><span class="op">(</span><span class="st">"Ricker2"</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'GompertzFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,L0,b=NULL,gi=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(L0)==3) { b &lt;- L0[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     gi &lt;- L0[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L0 &lt;- L0[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L0*exp(b*(1-exp(-gi*t)))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b13c87e4f0&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13c786ed8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, L0, b = NULL, gi = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(L0) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         b &lt;- L0[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         gi &lt;- L0[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L0 &lt;- L0[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     L0 * exp(b * (1 - exp(-gi * t)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d728868e60&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d72863f0e8&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">gomp2</span><span class="op">(</span><span class="va">ages</span>,L0<span class="op">=</span><span class="fl">2</span>,b<span class="op">=</span><span class="fl">6</span>,gi<span class="op">=</span><span class="fl">0.5</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-4.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">gomp2c</span> <span class="op">&lt;-</span> <span class="fu">GompertzFuns</span><span class="op">(</span><span class="st">"Ricker2"</span>,simple<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span> <span class="op">)</span>   <span class="co"># compare to gomp2</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'GompertzFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,L0,b,gi) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L0*exp(b*(1-exp(-gi*t)))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b13c883d20&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13c5d1238&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, L0, b, gi) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     L0 * exp(b * (1 - exp(-gi * t)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d72886bd50&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d7282b6ab0&gt;</span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">gompT</span> <span class="op">&lt;-</span> <span class="fu">GompertzFuns</span><span class="op">(</span><span class="st">"Troynikov1"</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'GompertzFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(Lm,dt,Linf,gi=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==2) { gi &lt;- Linf[2]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[1] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf*((Lm/Linf)^exp(-gi*dt))-Lm</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b13c89b1a0&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b138c26060&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (Lm, dt, Linf, gi = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 2) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         gi &lt;- Linf[2]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[1]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf * ((Lm/Linf)^exp(-gi * dt)) - Lm</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d728866cd8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d728217270&gt;</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Simple Examples -- Richards</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">rich1</span> <span class="op">&lt;-</span> <span class="fu">RichardsFuns</span><span class="op">(</span><span class="fl">1</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'RichardsFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,k=NULL,ti=NULL,b1=NULL) { #eqn 5 from Tjorve &amp; Tjorve (2010)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==4) { k &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     ti &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     b1 &lt;- Linf[[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/((1+b1*exp(-k*(t-ti)))^(1/b1))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b138c5f6c8&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b138e12ac0&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, k = NULL, ti = NULL, b1 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 4) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         k &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         ti &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         b1 &lt;- Linf[[4]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/((1 + b1 * exp(-k * (t - ti)))^(1/b1))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d72812c6d8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d728125f20&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">rich1</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,k<span class="op">=</span><span class="fl">0.5</span>,ti<span class="op">=</span><span class="fl">3</span>,b1<span class="op">=</span><span class="fl">0.15</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-5.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">rich2</span> <span class="op">&lt;-</span> <span class="fu">RichardsFuns</span><span class="op">(</span><span class="fl">2</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'RichardsFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,k=NULL,t0=NULL,b2=NULL) { #eqn 3(alt) from Tjorve &amp; Tjorve (2010)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==4) { k &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     t0 &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     b2 &lt;- Linf[[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/((1+exp(-k*(t-t0)))^(-b2))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b138c67430&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13928c618&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, k = NULL, t0 = NULL, b2 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 4) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         k &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         t0 &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         b2 &lt;- Linf[[4]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/((1 + exp(-k * (t - t0)))^(-b2))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d72812a2e8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d727f62680&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">rich2</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,k<span class="op">=</span><span class="fl">0.5</span>,t0<span class="op">=</span><span class="op">-</span><span class="fl">1</span>,b2<span class="op">=</span><span class="fl">6</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-6.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">rich3</span> <span class="op">&lt;-</span> <span class="fu">RichardsFuns</span><span class="op">(</span><span class="fl">3</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'RichardsFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,k=NULL,L0=NULL,b3=NULL) { #eqn 7 from Tjorve &amp; Tjorve (2010)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==4) { k &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L0 &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     b3 &lt;- Linf[[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf*(1+(((L0/Linf)^(1-b3))-1)*exp(-k*t))^(1/(1-b3))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b138c83248&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b139383d98&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, k = NULL, L0 = NULL, b3 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 4) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         k &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L0 &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         b3 &lt;- Linf[[4]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf * (1 + (((L0/Linf)^(1 - b3)) - 1) * exp(-k * t))^(1/(1 - </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         b3))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d72812bc10&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d7274b1d60&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">rich3</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,k<span class="op">=</span><span class="fl">0.5</span>,L0<span class="op">=</span><span class="fl">50</span>,b3<span class="op">=</span><span class="fl">1.5</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-7.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">rich4</span> <span class="op">&lt;-</span> <span class="fu">RichardsFuns</span><span class="op">(</span><span class="fl">4</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'RichardsFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,k=NULL,ti=NULL,b2=NULL) { #eqn 4 from Tjorve &amp; Tjorve (2010)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==4) { k &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     ti &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     b2 &lt;- Linf[[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf*(1-(1/b2)*exp(-k*(t-ti)))^b2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b138c94858&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b1395a1840&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, k = NULL, ti = NULL, b2 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 4) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         k &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         ti &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         b2 &lt;- Linf[[4]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf * (1 - (1/b2) * exp(-k * (t - ti)))^b2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d72811e080&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d726fba358&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">rich4</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,k<span class="op">=</span><span class="fl">0.5</span>,ti<span class="op">=</span><span class="fl">3</span>,b2<span class="op">=</span><span class="fl">6</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-8.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">rich5</span> <span class="op">&lt;-</span> <span class="fu">RichardsFuns</span><span class="op">(</span><span class="fl">5</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'RichardsFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,k=NULL,ti=NULL,b3=NULL) { #eqn 6 from Tjorve &amp; Tjorve (2010)</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==4) { k &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     ti &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     b3 &lt;- Linf[[4]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf*(1+(b3-1)*exp(-k*(t-ti)))^(1/(1-b3))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b138c8c690&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b1396d34f8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, k = NULL, ti = NULL, b3 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 4) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         k &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         ti &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         b3 &lt;- Linf[[4]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf * (1 + (b3 - 1) * exp(-k * (t - ti)))^(1/(1 - b3))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d72811fa50&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d726e4e970&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">rich5</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,k<span class="op">=</span><span class="fl">0.5</span>,ti<span class="op">=</span><span class="fl">3</span>,b3<span class="op">=</span><span class="fl">0.95</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span><span class="fu">rich5</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,k<span class="op">=</span><span class="fl">0.5</span>,ti<span class="op">=</span><span class="fl">3</span>,b3<span class="op">=</span><span class="fl">1.5</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span>,col<span class="op">=</span><span class="st">"blue"</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-9.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">rich2c</span> <span class="op">&lt;-</span> <span class="fu">RichardsFuns</span><span class="op">(</span><span class="fl">2</span>,simple<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span> <span class="op">)</span> <span class="co"># compare to rich2</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'RichardsFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,k,t0,b2) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/((1+exp(-k*(t-t0)))^(-b2))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b138c81d98&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b13999bd20&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, k, t0, b2) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/((1 + exp(-k * (t - t0)))^(-b2))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d72812b388&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d726c31140&gt;</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Simple Examples -- Logistic</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">log1</span> <span class="op">&lt;-</span> <span class="fu">logisticFuns</span><span class="op">(</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'logisticFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,gninf=NULL,ti=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==3) { gninf &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     ti &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/(1+exp(-gninf*(t-ti)))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b139b2dd88&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b139b75600&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, gninf = NULL, ti = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         gninf &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         ti &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/(1 + exp(-gninf * (t - ti)))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d726a35d48&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d726a259c8&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">log1</span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,gninf<span class="op">=</span><span class="fl">0.5</span>,ti<span class="op">=</span><span class="fl">5</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-10.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">log2</span> <span class="op">&lt;-</span> <span class="fu">logisticFuns</span><span class="op">(</span><span class="st">"CJ2"</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'logisticFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,gninf=NULL,a=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==3) { gninf &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     a &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/(1+a*exp(-gninf*t))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b139b3adc8&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b139c985c8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, gninf = NULL, a = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         gninf &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         a &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/(1 + a * exp(-gninf * t))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d726a2d178&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d726897f40&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log2</a></span><span class="op">(</span><span class="va">ages</span>,Linf<span class="op">=</span><span class="fl">800</span>,gninf<span class="op">=</span><span class="fl">0.5</span>,a<span class="op">=</span><span class="fl">10</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-11.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">log2c</span> <span class="op">&lt;-</span> <span class="fu">logisticFuns</span><span class="op">(</span><span class="st">"CJ2"</span>,simple<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span> <span class="op">)</span> <span class="co"># compare to log2</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'logisticFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,gninf,a) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/(1+a*exp(-gninf*t))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b139b4e5b8&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b139dcb2e8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, gninf, a) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf/(1 + a * exp(-gninf * t))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d726a2ddf0&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d725836a40&gt;</span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">log3</span> <span class="op">&lt;-</span> <span class="fu">logisticFuns</span><span class="op">(</span><span class="st">"Karkach"</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'logisticFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(t,Linf,L0=NULL,gninf=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf)==3) { L0 &lt;- Linf[[2]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     gninf &lt;- Linf[[3]]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     Linf &lt;- Linf[[1]] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L0*Linf/(L0+(Linf-L0)*exp(-gninf*t))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b139b65cb8&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b139e2c6b0&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (t, Linf, L0 = NULL, gninf = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(Linf) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L0 &lt;- Linf[[2]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         gninf &lt;- Linf[[3]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         Linf &lt;- Linf[[1]]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     L0 * Linf/(L0 + (Linf - L0) * exp(-gninf * t))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d726a324c8&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d7257448b0&gt;</span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/plot.default.html" class="external-link">plot</a></span><span class="op">(</span><span class="fu">log3</span><span class="op">(</span><span class="va">ages</span>,L0<span class="op">=</span><span class="fl">10</span>,Linf<span class="op">=</span><span class="fl">800</span>,gninf<span class="op">=</span><span class="fl">0.5</span><span class="op">)</span><span class="op">~</span><span class="va">ages</span>,type<span class="op">=</span><span class="st">"b"</span>,pch<span class="op">=</span><span class="fl">19</span><span class="op">)</span></span></span>
 <span class="r-plt img"><img src="growthModels-12.png" alt="" width="700" height="433"></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">log4</span> <span class="op">&lt;-</span> <span class="fu">logisticFuns</span><span class="op">(</span><span class="st">"Haddon"</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>'logisticFuns()' is deprecated as of v0.10.0. Please use 'makeGrowthFun()' instead as it will be continuously updated in the future.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> function(Lm,dLmax,L50=NULL,L95=NULL) {</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(dLmax)==3) { L50 &lt;- dLmax[2]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     L95 &lt;- dLmax[3]</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     dLmax &lt;- dLmax[1] }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     dLmax/(1+exp(log(19)*((Lm-L50)/(L95-L50))))</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   }</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001b139b5c9a8&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001b139ff52b0&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> function (Lm, dLmax, L50 = NULL, L95 = NULL) </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     if (length(dLmax) == 3) {</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L50 &lt;- dLmax[2]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         L95 &lt;- dLmax[3]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         dLmax &lt;- dLmax[1]</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     dLmax/(1 + exp(log(19) * ((Lm - L50)/(L95 - L50))))</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> }</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;bytecode: 0x000001d726a33ae0&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> &lt;environment: 0x000001d724d5a488&gt;</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">###########################################################</span></span></span>
@@ -417,7 +471,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> K     0.22493    0.06922   3.250  0.00125 ** </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> t0   -2.55738    0.47496  -5.384 1.24e-07 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Residual standard error: 1.053 on 400 degrees of freedom</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
@@ -445,7 +499,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> L2 11.41275    0.08344  136.78   &lt;2e-16 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> L3 13.72912    0.32219   42.61   &lt;2e-16 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Residual standard error: 1.053 on 400 degrees of freedom</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
@@ -476,7 +530,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> L3 12.95500    0.18740   69.13  &lt; 2e-16 ***</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> K   0.22494    0.06922    3.25  0.00125 ** </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Residual standard error: 1.053 on 400 degrees of freedom</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
@@ -503,7 +557,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/headtail.html b/docs/reference/headtail.html
index dcad0948..f1eb896b 100644
--- a/docs/reference/headtail.html
+++ b/docs/reference/headtail.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -378,7 +378,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/hist.formula-1.png b/docs/reference/hist.formula-1.png
index 9cb3a62c..98c43fc1 100644
Binary files a/docs/reference/hist.formula-1.png and b/docs/reference/hist.formula-1.png differ
diff --git a/docs/reference/hist.formula-2.png b/docs/reference/hist.formula-2.png
index 86b02342..e14c0113 100644
Binary files a/docs/reference/hist.formula-2.png and b/docs/reference/hist.formula-2.png differ
diff --git a/docs/reference/hist.formula-3.png b/docs/reference/hist.formula-3.png
index e4502ccb..9b41fd96 100644
Binary files a/docs/reference/hist.formula-3.png and b/docs/reference/hist.formula-3.png differ
diff --git a/docs/reference/hist.formula-4.png b/docs/reference/hist.formula-4.png
index e6903316..db6fa790 100644
Binary files a/docs/reference/hist.formula-4.png and b/docs/reference/hist.formula-4.png differ
diff --git a/docs/reference/hist.formula-5.png b/docs/reference/hist.formula-5.png
index ebadcad8..059deb45 100644
Binary files a/docs/reference/hist.formula-5.png and b/docs/reference/hist.formula-5.png differ
diff --git a/docs/reference/hist.formula-6.png b/docs/reference/hist.formula-6.png
index 17784e39..bc21a05f 100644
Binary files a/docs/reference/hist.formula-6.png and b/docs/reference/hist.formula-6.png differ
diff --git a/docs/reference/hist.formula.html b/docs/reference/hist.formula.html
index b293b30f..235ac765 100644
--- a/docs/reference/hist.formula.html
+++ b/docs/reference/hist.formula.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -174,7 +174,7 @@ <h2 id="references">References<a class="anchor" aria-label="anchor" href="#refer
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>See base <code><a href="https://rdrr.io/r/graphics/hist.html" class="external-link">hist</a></code> for related functionality and <code><a href="https://rdrr.io/pkg/plotrix/man/multhist.html" class="external-link">multhist</a></code> in <span class="pkg">plotrix</span> for similar functionality.</p></div>
+    <div class="dont-index"><p>See base <code><a href="https://rdrr.io/r/graphics/hist.html" class="external-link">hist</a></code> for related functionality and <code><a href="https://plotrix.github.io/plotrix/reference/multhist.html" class="external-link">multhist</a></code> in <span class="pkg">plotrix</span> for similar functionality.</p></div>
     </div>
     <div class="section level2">
     <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
@@ -218,7 +218,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/histFromSum-1.png b/docs/reference/histFromSum-1.png
index 24452b3a..c8a054c3 100644
Binary files a/docs/reference/histFromSum-1.png and b/docs/reference/histFromSum-1.png differ
diff --git a/docs/reference/histFromSum-2.png b/docs/reference/histFromSum-2.png
index 8311e8b0..23b61ed4 100644
Binary files a/docs/reference/histFromSum-2.png and b/docs/reference/histFromSum-2.png differ
diff --git a/docs/reference/histFromSum-3.png b/docs/reference/histFromSum-3.png
index b97d80b7..9390f43c 100644
Binary files a/docs/reference/histFromSum-3.png and b/docs/reference/histFromSum-3.png differ
diff --git a/docs/reference/histFromSum-4.png b/docs/reference/histFromSum-4.png
index 5ae1b32c..797c74d1 100644
Binary files a/docs/reference/histFromSum-4.png and b/docs/reference/histFromSum-4.png differ
diff --git a/docs/reference/histFromSum-5.png b/docs/reference/histFromSum-5.png
index 6e042403..d025a6d4 100644
Binary files a/docs/reference/histFromSum-5.png and b/docs/reference/histFromSum-5.png differ
diff --git a/docs/reference/histFromSum-6.png b/docs/reference/histFromSum-6.png
index 2305eb57..a696681c 100644
Binary files a/docs/reference/histFromSum-6.png and b/docs/reference/histFromSum-6.png differ
diff --git a/docs/reference/histFromSum.html b/docs/reference/histFromSum.html
index ca907a7b..e6e4f04b 100644
--- a/docs/reference/histFromSum.html
+++ b/docs/reference/histFromSum.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -170,7 +170,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/hyperCI.html b/docs/reference/hyperCI.html
index 4613d2f7..82024293 100644
--- a/docs/reference/hyperCI.html
+++ b/docs/reference/hyperCI.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -105,7 +105,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/index.html b/docs/reference/index.html
index 05479b9d..a4bffae8 100644
--- a/docs/reference/index.html
+++ b/docs/reference/index.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -45,8 +45,7 @@ <h2 id="age-comparisons">Age Comparisons<a class="anchor" aria-label="anchor" hr
 
       <div class="section-desc"><p>Summarize and visualize bias and precision among multiple estimates of age for individual fish.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -57,13 +56,15 @@ <h2 id="age-comparisons">Age Comparisons<a class="anchor" aria-label="anchor" hr
 
         </dt>
         <dd>Compute and view possible differences between paired sets of ages.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="agePrecision.html">agePrecision()</a></code> <code><a href="agePrecision.html">summary(<i>&lt;agePrec&gt;</i>)</a></code>
 
         </dt>
         <dd>Compute measures of precision among sets of ages.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="plotAB.html">plotAB()</a></code>
 
@@ -74,8 +75,7 @@ <h2 id="age-length-keys">Age-Length Keys<a class="anchor" aria-label="anchor" hr
 
       <div class="section-desc"><p>Process age-length keys including assigning ages to indvidual fish and visualizing a key.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -86,19 +86,22 @@ <h2 id="age-length-keys">Age-Length Keys<a class="anchor" aria-label="anchor" hr
 
         </dt>
         <dd>Use an age-length key to assign age to individuals in the unaged sample.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="alkPlot.html">alkPlot()</a></code>
 
         </dt>
         <dd>Plots to visualize age-length keys.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="alkAgeDist.html">alkAgeDist()</a></code>
 
         </dt>
         <dd>Proportions-at-age from an age-length key</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="alkMeanVar.html">alkMeanVar()</a></code>
 
@@ -109,8 +112,7 @@ <h2 id="size-structure">Size Structure<a class="anchor" aria-label="anchor" href
 
       <div class="section-desc"><p>Efficiently calculate and summarize proportional size distribution (PSD) data.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -121,37 +123,43 @@ <h2 id="size-structure">Size Structure<a class="anchor" aria-label="anchor" href
 
         </dt>
         <dd>Gabelhouse five-cell length categories for various species.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="psdVal.html">psdVal()</a></code>
 
         </dt>
         <dd>Finds Gabelhouse lengths (for PSD calculations) for a species.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="psdPlot.html">psdPlot()</a></code>
 
         </dt>
         <dd>Length-frequency histogram with Gabelhouse lengths highlighted.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="psdCalc.html">psdCalc()</a></code>
 
         </dt>
         <dd>Convenience function for calculating PSD-X and PSD X-Y values.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="psdCI.html">psdCI()</a></code>
 
         </dt>
         <dd>Compute confidence intervals for PSD-X and PSD X-Y values.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="psdAdd.html">psdAdd()</a></code>
 
         </dt>
         <dd>Creates a vector of Gabelhouse lengths for each species in an entire data frame.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="tictactoe.html">tictactoe()</a></code>
 
@@ -162,8 +170,7 @@ <h2 id="condition-and-weight-length">Condition and Weight-Length<a class="anchor
 
       <div class="section-desc"><p>Efficiently calculate and summarize relative weight and visualize weight-length data among groups with different slopes.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -174,19 +181,22 @@ <h2 id="condition-and-weight-length">Condition and Weight-Length<a class="anchor
 
         </dt>
         <dd>All known standard weight equations.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="wsVal.html">wsVal()</a></code>
 
         </dt>
         <dd>Finds standard weight equation coefficients for a particular species.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="wrAdd.html">wrAdd()</a></code>
 
         </dt>
         <dd>Computes a vector of relative weights specific to a species in an entire data frame.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="lwCompPreds.html">lwCompPreds()</a></code>
 
@@ -197,8 +207,7 @@ <h2 id="abundance-capture-recapture-">Abundance (Capture-Recapture)<a class="anc
 
       <div class="section-desc"><p>Estimate abundance with capture-recapture data, including handling and summarizing data in a capture history format.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -209,19 +218,22 @@ <h2 id="abundance-capture-recapture-">Abundance (Capture-Recapture)<a class="anc
 
         </dt>
         <dd>Estimate initial population size for single or multiple census mark-recapture data.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="mrOpen.html">jolly()</a></code> <code><a href="mrOpen.html">mrOpen()</a></code> <code><a href="mrOpen.html">summary(<i>&lt;mrOpen&gt;</i>)</a></code> <code><a href="mrOpen.html">confint(<i>&lt;mrOpen&gt;</i>)</a></code>
 
         </dt>
         <dd>Jolly-Seber analysis from multiple mark-recapture events from an open population.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="capHistConvert.html">capHistConvert()</a></code>
 
         </dt>
         <dd>Convert between capture history data.frame formats.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="capHistSum.html">capHistSum()</a></code> <code><a href="capHistSum.html">is.CapHist()</a></code> <code><a href="capHistSum.html">plot(<i>&lt;CapHist&gt;</i>)</a></code>
 
@@ -232,8 +244,7 @@ <h2 id="abundance-depletion-">Abundance (Depletion)<a class="anchor" aria-label=
 
       <div class="section-desc"><p>Estimate abundance with depletion and removal data.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -244,7 +255,8 @@ <h2 id="abundance-depletion-">Abundance (Depletion)<a class="anchor" aria-label=
 
         </dt>
         <dd>Computes the Leslie or DeLury population estimate from catch and effort data.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="removal.html">removal()</a></code> <code><a href="removal.html">coef(<i>&lt;removal&gt;</i>)</a></code> <code><a href="removal.html">confint(<i>&lt;removal&gt;</i>)</a></code> <code><a href="removal.html">summary(<i>&lt;removal&gt;</i>)</a></code>
 
@@ -255,8 +267,7 @@ <h2 id="individual-growth">Individual Growth<a class="anchor" aria-label="anchor
 
       <div class="section-desc"><p>Fit various growth models (von Bertalanffy, Gompertz, logistic, Richards, Schnute) to individual fish.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -267,13 +278,15 @@ <h2 id="individual-growth">Individual Growth<a class="anchor" aria-label="anchor
 
         </dt>
         <dd>Creates a function for a specific parameterization of the von Bertalanffy and other common growth functions.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="showGrowthFun.html">showGrowthFun()</a></code>
 
         </dt>
         <dd>Creates a string or an expression for a specific growth function.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="findGrowthStarts.html">findGrowthStarts()</a></code>
 
@@ -284,8 +297,7 @@ <h2 id="mortality-rates">Mortality Rates<a class="anchor" aria-label="anchor" hr
 
       <div class="section-desc"><p>Estimate mortality rates from catch curve data and empirical models.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -296,13 +308,15 @@ <h2 id="mortality-rates">Mortality Rates<a class="anchor" aria-label="anchor" hr
 
         </dt>
         <dd>Mortality estimates from the descending limb of a catch curve.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="chapmanRobson.html">chapmanRobson()</a></code> <code><a href="chapmanRobson.html">summary(<i>&lt;chapmanRobson&gt;</i>)</a></code> <code><a href="chapmanRobson.html">coef(<i>&lt;chapmanRobson&gt;</i>)</a></code> <code><a href="chapmanRobson.html">confint(<i>&lt;chapmanRobson&gt;</i>)</a></code> <code><a href="chapmanRobson.html">plot(<i>&lt;chapmanRobson&gt;</i>)</a></code>
 
         </dt>
         <dd>Computes Chapman-Robson estimates of S and Z.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="metaM.html">Mmethods()</a></code> <code><a href="metaM.html">metaM()</a></code>
 
@@ -313,8 +327,7 @@ <h2 id="stock-recruiment">Stock-Recruiment<a class="anchor" aria-label="anchor"
 
       <div class="section-desc"><p>Fit various (Beverton-Holt, Ricker, Shepherd) stock-recruitment functions.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -325,7 +338,8 @@ <h2 id="stock-recruiment">Stock-Recruiment<a class="anchor" aria-label="anchor"
 
         </dt>
         <dd>Creates a function for a specific parameterization of a common stock-recruitment function .</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="srStarts.html">srStarts()</a></code>
 
@@ -336,8 +350,7 @@ <h2 id="utilities-fisheries-specific-">Utilities (Fisheries-Specific)<a class="a
 
       <div class="section-desc"><p>Utilities that are likely useful only to fisheries scientists.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -348,19 +361,22 @@ <h2 id="utilities-fisheries-specific-">Utilities (Fisheries-Specific)<a class="a
 
         </dt>
         <dd>Adds zeros for catches of species not collected in some sampling events.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="expandCounts.html">expandCounts()</a></code>
 
         </dt>
         <dd>Repeat individual fish data (including lengths) from tallied counts.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="expandLenFreq.html">expandLenFreq()</a></code>
 
         </dt>
         <dd>Expands a length frequency based on a subsample.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="lencat.html">lencat()</a></code>
 
@@ -371,8 +387,7 @@ <h2 id="utilities-general-statistics-">Utilities (General Statistics)<a class="a
 
       <div class="section-desc"><p>Utilities of a statistical nature that are likely to be useful to a fisheries scientist.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -383,103 +398,120 @@ <h2 id="utilities-general-statistics-">Utilities (General Statistics)<a class="a
 
         </dt>
         <dd>Confidence intervals for binomial probability of success.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="hyperCI.html">hyperCI()</a></code>
 
         </dt>
         <dd>Confidence interval for population size (N) in hypergeometric distribution.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="poiCI.html">poiCI()</a></code>
 
         </dt>
         <dd>Confidence interval for Poisson counts.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="boot.html">confint(<i>&lt;boot&gt;</i>)</a></code> <code><a href="boot.html">htest(<i>&lt;boot&gt;</i>)</a></code> <code><a href="boot.html">predict(<i>&lt;boot&gt;</i>)</a></code> <code><a href="boot.html">hist(<i>&lt;boot&gt;</i>)</a></code>
 
         </dt>
         <dd>Associated S3 methods for bootstrap results from car::Boot.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="dunnTest.html">dunnTest()</a></code> <code><a href="dunnTest.html">print(<i>&lt;dunnTest&gt;</i>)</a></code>
 
         </dt>
         <dd>Dunn's Kruskal-Wallis Multiple Comparisons.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="extraTests.html">lrt()</a></code> <code><a href="extraTests.html">extraSS()</a></code> <code><a href="extraTests.html">print(<i>&lt;extraTest&gt;</i>)</a></code>
 
         </dt>
         <dd>Likelihood ratio and extra sum-of-squares tests.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="geomean.html">geomean()</a></code> <code><a href="geomean.html">geosd()</a></code>
 
         </dt>
         <dd>Calculates the geometric mean or geometric standard deviation.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="hist.formula.html">hist(<i>&lt;formula&gt;</i>)</a></code>
 
         </dt>
         <dd>Creates separate histograms by levels.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="histFromSum.html">histFromSum()</a></code>
 
         </dt>
         <dd>Create a histogram from a frequency table.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="nlsBoot.html">confint(<i>&lt;nlsBoot&gt;</i>)</a></code> <code><a href="nlsBoot.html">predict(<i>&lt;nlsBoot&gt;</i>)</a></code> <code><a href="nlsBoot.html">htest()</a></code>
 
         </dt>
         <dd>Associated S3 methods for nlsBoot from nlstools.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="ksTest.html">ksTest()</a></code>
 
         </dt>
         <dd>Kolmogorov-Smirnov Tests.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="logbtcf.html">logbtcf()</a></code>
 
         </dt>
         <dd>Constructs the correction-factor used when back-transforming log-transformed values.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="nlsTracePlot.html">nlsTracePlot()</a></code>
 
         </dt>
         <dd>Adds model fits from nls iterations to active plot.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="rcumsum.html">rcumsum()</a></code> <code><a href="rcumsum.html">pcumsum()</a></code>
 
         </dt>
         <dd>Computes the prior to or reverse cumulative sum of a vector.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="rSquared.html">rSquared()</a></code>
 
         </dt>
         <dd>Extract the coefficient of determination from a linear model object.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="se.html">se()</a></code>
 
         </dt>
         <dd>Computes standard error of the mean.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="Summarize.html">Summarize()</a></code>
 
         </dt>
         <dd>Summary statistics for a numeric variable.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="sumTable.html">sumTable()</a></code>
 
@@ -490,8 +522,7 @@ <h2 id="utilities-other-">Utilities (Other)<a class="anchor" aria-label="anchor"
 
       <div class="section-desc"><p>Miscellaneous utilities.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -502,73 +533,85 @@ <h2 id="utilities-other-">Utilities (Other)<a class="anchor" aria-label="anchor"
 
         </dt>
         <dd>Fisheries stock assessment methods and data.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="capFirst.html">capFirst()</a></code>
 
         </dt>
         <dd>Capitalizes the first letter of first or all words in a string.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="col2rgbt.html">col2rgbt()</a></code>
 
         </dt>
         <dd>Converts an R color to RGB (red/green/blue) including a transparency (alpha channel).</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="fact2num.html">fact2num()</a></code>
 
         </dt>
         <dd>Converts "numeric" factor levels to numeric values.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="fishR.html">fishR()</a></code>
 
         </dt>
         <dd>Opens web pages associated with the fishR website.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="headtail.html">headtail()</a></code>
 
         </dt>
         <dd>Shows rows from the head and tail of a data frame or matrix.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="is.odd.html">is.odd()</a></code> <code><a href="is.odd.html">is.even()</a></code>
 
         </dt>
         <dd>Determine if a number is odd or even.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="knitUtil.html">kCounts()</a></code> <code><a href="knitUtil.html">kPvalue()</a></code> <code><a href="knitUtil.html">purl2()</a></code> <code><a href="knitUtil.html">reproInfo()</a></code>
 
         </dt>
         <dd>Specific utilities for use in a knitr document.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="lagratio.html">lagratio()</a></code>
 
         </dt>
         <dd>Ratio of lagged observations.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="perc.html">perc()</a></code>
 
         </dt>
         <dd>Computes the percentage of values in a vector less than or greater than (and equal to) some value.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="peek.html">peek()</a></code>
 
         </dt>
         <dd>Peek into (show a subset of) a data frame or matrix.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="repeatedRows2Keep.html">repeatedRows2Keep()</a></code>
 
         </dt>
         <dd>Find non-repeated consecutive rows in a data.frame.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="validn.html">validn()</a></code>
 
@@ -579,8 +622,7 @@ <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a></h2>
 
       <div class="section-desc"><p>Data files.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -591,109 +633,134 @@ <h2 id="data">Data<a class="anchor" aria-label="anchor" href="#data"></a></h2>
 
         </dt>
         <dd>Capture histories (2 samples) of Bluegill from Jewett Lake, MI.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="BrookTroutTH.html">BrookTroutTH</a></code>
 
         </dt>
         <dd>Catch-at-age for Tobin Harbor, Isle Royale Brook Trout.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="ChinookArg.html">ChinookArg</a></code>
 
         </dt>
         <dd>Lengths and weights for Chinook Salmon from three locations in Argentina.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="CodNorwegian.html">CodNorwegian</a></code>
 
         </dt>
         <dd>Stock and recruitment data for Norwegian cod, 1937-1960.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="CutthroatAL.html">CutthroatAL</a></code>
 
         </dt>
         <dd>Capture histories (9 samples) of Cutthroat Trout from Auke Lake.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="Ecoli.html">Ecoli</a></code>
 
         </dt>
         <dd>Population growth of Escherichia coli.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="GrowthData1.html">GrowthData1</a></code>
 
         </dt>
         <dd>Hypothetical growth data for testing</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="GrowthData2.html">GrowthData2</a></code>
 
         </dt>
         <dd>Hypothetical growth data for testing seasonal age models.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="GrowthData3.html">GrowthData3</a></code>
 
         </dt>
         <dd>Hypothetical growth data for testing</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="Mirex.html">Mirex</a></code>
 
         </dt>
         <dd>Mirex concentration, weight, capture year, and species of Lake Ontario salmon.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="PikeNY.html">PikeNY</a></code>
 
         </dt>
         <dd>Summarized multiple mark-recapture data for all Northern Pike from Buckhorn Marsh, NY.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="PikeNYPartial1.html">PikeNYPartial1</a></code>
 
         </dt>
         <dd>Capture histories (4 samples), in capture history format, of a subset of Northern Pike from Buckhorn Marsh, NY.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="PSDlit.html">PSDlit</a></code>
 
         </dt>
         <dd>Gabelhouse five-cell length categories for various species.</dd>
-      </dl><dl><dt>
+
+        <dt>
+
+          <code><a href="PSDWRtest.html">PSDWRtest</a></code>
+
+        </dt>
+        <dd>Hypothetical weight-length data for testing PSD and relative weight functions</dd>
+
+        <dt>
 
           <code><a href="SMBassLS.html">SMBassLS</a></code>
 
         </dt>
         <dd>Catch-effort data for Little Silver Lake (Ont) Smallmouth Bass.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="SMBassWB.html">SMBassWB</a></code>
 
         </dt>
         <dd>Growth increment data for West Bearskin Lake, MN, Smallmouth Bass.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="SpotVA1.html">SpotVA1</a></code>
 
         </dt>
         <dd>Age and length of spot.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="WhitefishLC.html">WhitefishLC</a></code>
 
         </dt>
         <dd>Assigned ages from two readers on three structures for Lake Whitefish from Lake Champlain.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="WR79.html">WR79</a></code>
 
         </dt>
         <dd>Ages and lengths for a hypothetical sample from Westerheim and Ricker (1979).</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="WSlit.html">WSlit</a></code>
 
@@ -704,8 +771,7 @@ <h2 id="defunct">Defunct<a class="anchor" aria-label="anchor" href="#defunct"></
 
       <div class="section-desc"><p>Defunct functions.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -721,8 +787,7 @@ <h2 id="deprecated">Deprecated<a class="anchor" aria-label="anchor" href="#depre
 
       <div class="section-desc"><p>Deprecated functions.</p></div>
 
-
-    </div><div class="section level2">
+      <dl></dl></div><div class="section level2">
 
 
 
@@ -733,7 +798,8 @@ <h2 id="deprecated">Deprecated<a class="anchor" aria-label="anchor" href="#depre
 
         </dt>
         <dd>DEPRECATED (as of v0.10.0). Creates a function for a specific parameterization of the von Bertalanffy, Gompertz, Richards, and logistic growth functions.</dd>
-      </dl><dl><dt>
+
+        <dt>
 
           <code><a href="vbStarts.html">vbStarts()</a></code>
 
@@ -749,7 +815,7 @@ <h2 id="deprecated">Deprecated<a class="anchor" aria-label="anchor" href="#depre
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/knitUtil.html b/docs/reference/knitUtil.html
index cf8e5731..edea6bb5 100644
--- a/docs/reference/knitUtil.html
+++ b/docs/reference/knitUtil.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -237,7 +237,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/ksTest.html b/docs/reference/ksTest.html
index 3785dd70..ce938d88 100644
--- a/docs/reference/ksTest.html
+++ b/docs/reference/ksTest.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -129,7 +129,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	Exact one-sample Kolmogorov-Smirnov test</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> data:  x</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.21652, p-value = 0.01546</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.18447, p-value = 0.05816</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> alternative hypothesis: two-sided</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/ks.test.html" class="external-link">ks.test</a></span><span class="op">(</span><span class="va">x</span><span class="op">+</span><span class="fl">2</span>, <span class="st">"pgamma"</span>, <span class="fl">3</span>, <span class="fl">2</span><span class="op">)</span></span></span>
@@ -137,7 +137,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	Exact one-sample Kolmogorov-Smirnov test</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> data:  x + 2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.21652, p-value = 0.01546</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.18447, p-value = 0.05816</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> alternative hypothesis: two-sided</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span></span></span>
@@ -147,7 +147,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	Exact two-sample Kolmogorov-Smirnov test</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> data:  x and y</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.6, p-value = 8.598e-07</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.62, p-value = 2.964e-07</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> alternative hypothesis: two-sided</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/ks.test.html" class="external-link">ks.test</a></span><span class="op">(</span><span class="va">x</span>,<span class="va">y</span><span class="op">)</span></span></span>
@@ -155,7 +155,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	Exact two-sample Kolmogorov-Smirnov test</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> data:  x and y</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.6, p-value = 8.598e-07</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.62, p-value = 2.964e-07</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> alternative hypothesis: two-sided</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span></span></span>
@@ -165,7 +165,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 	Exact two-sample Kolmogorov-Smirnov test</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> data:  x and y</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.6, p-value = 8.598e-07</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> D = 0.62, p-value = 2.964e-07</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> alternative hypothesis: two-sided</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-in"><span></span></span>
@@ -180,7 +180,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/lagratio.html b/docs/reference/lagratio.html
index 679d5c22..3d6f6ad4 100644
--- a/docs/reference/lagratio.html
+++ b/docs/reference/lagratio.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -144,7 +144,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/lencat.html b/docs/reference/lencat.html
index 3dd5eb25..1be06854 100644
--- a/docs/reference/lencat.html
+++ b/docs/reference/lencat.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -163,35 +163,35 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">df1</span><span class="op">$</span><span class="va">LCat1</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df1</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">0.1</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat1</span>,data<span class="op">=</span><span class="va">df1</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 0.2 0.9 1.3 1.5 1.6 1.7 2.1 2.8 2.9   3 3.3 3.8 4.1 4.2 4.4 4.5 4.6 4.9 5.1 5.7 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   2   1   1   2   1   1   2   2   1   1   1   1   1   2   1   1   2   1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6.2 6.3 6.4 7.1 7.2 7.3 7.6 7.7 7.9 8.3 8.6 8.7 9.3 9.8 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   2   1   2   1   2   1   1   1   5   2   2   1   2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0.2 0.9   1 1.3 1.6 1.7 2.1 2.8 2.9   3 3.3 3.8 4.1 4.2 4.5 4.9 5.1 5.3 5.7 6.2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   1   1   1   1   1   1   2   4   1   2   1   1   1   1   1   1   1   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 6.3 6.4 7.1 7.3 7.6 7.7 7.9 8.3 8.6 8.7 9.2 9.3 9.7 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   2   1   2   1   2   3   2   4   2   3   1   1   1 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories by 0.2 units</span></span></span>
 <span class="r-in"><span><span class="va">df1</span><span class="op">$</span><span class="va">LCat2</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df1</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">0.2</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat2</span>,data<span class="op">=</span><span class="va">df1</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 0.2 0.8 1.2 1.4 1.6   2 2.8   3 3.2 3.8   4 4.2 4.4 4.6 4.8   5 5.6 6.2 6.4   7 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   2   1   3   1   3   2   1   1   1   1   3   1   1   2   1   3   1   2 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7.2 7.6 7.8 8.2 8.6 9.2 9.8 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   3   2   1   5   4   1   2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0.2 0.8   1 1.2 1.6   2 2.8   3 3.2 3.8   4 4.2 4.4 4.8   5 5.2 5.6 6.2 6.4   7 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   1   1   2   1   3   4   1   2   1   1   1   1   1   1   1   3   1   2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7.2 7.6 7.8 8.2 8.6 9.2 9.6 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   5   2   4   5   2   1 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories by 0.2 units starting at 0.1</span></span></span>
 <span class="r-in"><span><span class="va">df1</span><span class="op">$</span><span class="va">LCat3</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df1</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">0.2</span>,startcat<span class="op">=</span><span class="fl">0.1</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat3</span>,data<span class="op">=</span><span class="va">df1</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 0.1 0.9 1.3 1.5 1.7 2.1 2.7 2.9 3.3 3.7 4.1 4.3 4.5 4.9 5.1 5.7 6.1 6.3 7.1 7.3 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   2   2   2   1   1   4   1   1   2   1   3   1   2   1   1   3   3   2 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7.5 7.7 7.9 8.3 8.5 8.7 9.3 9.7 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   1   5   2   2   1   2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0.1 0.9 1.3 1.5 1.7 2.1 2.7 2.9 3.3 3.7 4.1 4.5 4.9 5.1 5.3 5.7 6.1 6.3 7.1 7.3 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   2   1   1   1   1   1   6   1   2   2   1   1   1   1   1   1   3   2   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 7.5 7.7 7.9 8.3 8.5 8.7 9.1 9.3 9.7 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   2   3   2   4   2   3   1   1   1 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories as set by breaks</span></span></span>
 <span class="r-in"><span><span class="va">df1</span><span class="op">$</span><span class="va">LCat4</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df1</span><span class="op">$</span><span class="va">len</span>,breaks<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">0</span>,<span class="fl">2</span>,<span class="fl">4</span>,<span class="fl">7</span>,<span class="fl">10</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat4</span>,data<span class="op">=</span><span class="va">df1</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat4</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  0  2  4  7 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  8  8 14 20 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  6 11 11 22 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## A Second example</span></span></span>
 <span class="r-in"><span><span class="co"># random lengths measured to nearest unit</span></span></span>
@@ -201,38 +201,38 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">df2</span><span class="op">$</span><span class="va">LCat1</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df2</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat1</span>,data<span class="op">=</span><span class="va">df2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  10  15  20  25  30  35  40  45  50  65  70  75  80  85  90  95 100 105 110 115 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   3   4   3   2   1   1   2   2   4   3   2   1   2   2   3   4   2   4   4   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  10  15  20  25  30  35  45  50  65  70  75  80  85  95 100 105 110 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   4   5   2   2   1   2   4   4   3   3   1   2   3   5   2   3   4 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories by 5 units starting at 7</span></span></span>
 <span class="r-in"><span><span class="va">df2</span><span class="op">$</span><span class="va">LCat2</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df2</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">5</span>,startcat<span class="op">=</span><span class="fl">7</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat2</span>,data<span class="op">=</span><span class="va">df2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   7  12  17  22  27  32  37  42  47  52  62  67  72  77  82  87  92  97 102 107 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   2   2   5   1   2   1   1   3   3   2   2   1   2   1   3   1   5   2   3   6 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   3   2   5   1   2   1   2   1   4   3   1   2   3   1   3   2   1   5   2   5 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 112 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories by 10 units</span></span></span>
 <span class="r-in"><span><span class="va">df2</span><span class="op">$</span><span class="va">LCat3</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df2</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat3</span>,data<span class="op">=</span><span class="va">df2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat3</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  10  20  30  40  50  60  70  80  90 100 110 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   7   5   2   4   4   3   3   4   7   6   5 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   9   4   3   4   4   3   4   5   5   5   4 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories by 10 units starting at 5</span></span></span>
 <span class="r-in"><span><span class="va">df2</span><span class="op">$</span><span class="va">LCat4</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df2</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">10</span>,startcat<span class="op">=</span><span class="fl">5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat4</span>,data<span class="op">=</span><span class="va">df2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat4</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   5  15  25  35  45  65  75  85  95 105 115 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   3   7   3   3   6   5   3   5   6   8   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   5  15  25  35  45  65  75  85  95 105 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   4   7   3   2   8   6   3   3   7   7 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories as set by breaks</span></span></span>
 <span class="r-in"><span><span class="va">df2</span><span class="op">$</span><span class="va">LCat5</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df2</span><span class="op">$</span><span class="va">len</span>,breaks<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">5</span>,<span class="fl">50</span>,<span class="fl">75</span>,<span class="fl">150</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat5</span>,data<span class="op">=</span><span class="va">df2</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat5</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  5 50 75 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18  9 23 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20 10 20 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## A Third example</span></span></span>
 <span class="r-in"><span><span class="co"># random lengths measured to nearest 0.1 unit</span></span></span>
@@ -242,8 +242,8 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">df3</span><span class="op">$</span><span class="va">LCat1</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df3</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">5</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat1</span>,data<span class="op">=</span><span class="va">df3</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  10  15  20  25  30  35  40  45  50  55  60  65  70  75  80  85  90  95 100 105 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   1   1   1   2   6   3   1   1   7   3   3   2   2   5   1   5   1   3 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  20  25  30  35  40  45  50  55  60  65  70  75  80  85  90  95 105 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   2   1   1   2   7   1   3   3   8   2   2   3   3   4   1   4   3 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## A Fourth example</span></span></span>
 <span class="r-in"><span><span class="co"># random lengths measured to nearest 0.01 unit</span></span></span>
@@ -253,32 +253,32 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">df4</span><span class="op">$</span><span class="va">LCat1</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df4</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">0.1</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat1</span>,data<span class="op">=</span><span class="va">df4</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 0.1 0.7 1.2 1.8   2 2.2 2.3 2.7 2.9   3 3.1 3.2 3.3 3.4 3.6 3.9   4 4.2 4.3 4.4 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   2   1   1   1   1   2   1   1   1   1   1   2   1   3   1   1   2   1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4.5 4.7 4.8   5 5.1 5.3 5.6 6.1 6.4 6.6 6.7 6.8 7.4 7.7 8.2 8.4 8.8 8.9 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   2   2   1   1   1   1   3   1   1   1   2   1   1   1   1   1   2   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 0.1 0.7 0.8 1.2 1.8 1.9   2 2.1 2.2 2.3 2.5 2.7 2.9 3.1 3.2 3.3 3.4 3.6   4 4.3 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   1   1   1   1   1   1   1   1   1   1   1   1   2   1   2   1   1   2 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4.4 4.5 4.7 4.8   5 5.1 5.3 5.6 6.2 6.4 6.7 6.8 7.4 7.7 8.4 8.8 8.9   9 9.6 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   2   1   1   1   2   1   3   1   1   2   1   1   1   1   4   1   1   1 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories by 0.1 unit, but without missing categories</span></span></span>
 <span class="r-in"><span><span class="va">df4</span><span class="op">$</span><span class="va">LCat2</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df4</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">0.1</span>,as.fact<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat2</span>,data<span class="op">=</span><span class="va">df4</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat2</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9   1 1.1 1.2 1.3 1.4 1.5 1.6 1.7 1.8 1.9   2 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   0   0   0   0   0   1   0   0   0   0   2   0   0   0   0   0   1   0   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   0   0   0   0   0   1   1   0   0   0   1   0   0   0   0   0   1   1   1 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9   3 3.1 3.2 3.3 3.4 3.5 3.6 3.7 3.8 3.9   4 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   0   1   1   0   0   0   2   0   1   1   1   1   1   2   0   1   0   0   3   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   1   1   1   0   1   0   1   0   1   0   1   2   1   2   0   1   0   0   0   1 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.8 4.9   5 5.1 5.2 5.3 5.4 5.5 5.6 5.7 5.8 5.9   6 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   0   1   2   1   2   0   2   1   0   1   1   0   1   0   0   3   0   0   0   0 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   0   0   2   1   2   0   1   1   0   1   2   0   1   0   0   3   0   0   0   0 </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 6.1 6.2 6.3 6.4 6.5 6.6 6.7 6.8 6.9   7 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 7.9   8 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   1   0   0   1   0   1   2   1   0   0   0   0   0   1   0   0   1   0   0   0 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8.1 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   0   1   0   1   0   0   0   2   1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   0   1   0   1   0   0   2   1   0   0   0   0   0   1   0   0   1   0   0   0 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 8.1 8.2 8.3 8.4 8.5 8.6 8.7 8.8 8.9   9 9.1 9.2 9.3 9.4 9.5 9.6 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   0   0   0   1   0   0   0   4   1   1   0   0   0   0   0   1 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># length categories by 2 unit</span></span></span>
 <span class="r-in"><span><span class="va">df4</span><span class="op">$</span><span class="va">LCat3</span> <span class="op">&lt;-</span> <span class="fu">lencat</span><span class="op">(</span><span class="va">df4</span><span class="op">$</span><span class="va">len</span>,w<span class="op">=</span><span class="fl">2</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/stats/xtabs.html" class="external-link">xtabs</a></span><span class="op">(</span><span class="op">~</span><span class="va">LCat3</span>,data<span class="op">=</span><span class="va">df4</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> LCat3</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  0  2  4  6  8 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  5 16 16  8  5 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  6 14 15  7  8 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## A Fifth example -- with real data</span></span></span>
 <span class="r-in"><span><span class="co"># remove variables with "anu" and "radcap" just for simplicity</span></span></span>
@@ -524,7 +524,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/logbtcf.html b/docs/reference/logbtcf.html
index 666f00b3..dd2eea20 100644
--- a/docs/reference/logbtcf.html
+++ b/docs/reference/logbtcf.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -89,25 +89,25 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">lme</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="va">logey</span><span class="op">~</span><span class="va">logex</span>,data<span class="op">=</span><span class="va">df</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">ploge</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict</a></span><span class="op">(</span><span class="va">lme</span>,<span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>logex<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span><span class="op">)</span><span class="op">)</span> <span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1.691612 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1.399936 </span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">pe</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">exp</a></span><span class="op">(</span><span class="va">ploge</span><span class="op">)</span> <span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>        1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5.428224 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>       1 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 4.05494 </span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">cfe</span> <span class="op">&lt;-</span> <span class="fu">logbtcf</span><span class="op">(</span><span class="va">lme</span><span class="op">)</span> <span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.381993</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.440596</span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">cpe</span> <span class="op">&lt;-</span> <span class="va">cfe</span><span class="op">*</span><span class="va">pe</span> <span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7.501769 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5.841532 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># model and predictions on log10 scale</span></span></span>
 <span class="r-in"><span><span class="va">lm10</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/lm.html" class="external-link">lm</a></span><span class="op">(</span><span class="va">log10y</span><span class="op">~</span><span class="va">log10x</span>,data<span class="op">=</span><span class="va">df</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">plog10</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/stats/predict.html" class="external-link">predict</a></span><span class="op">(</span><span class="va">lm10</span>,<span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>log10x<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log10</a></span><span class="op">(</span><span class="fl">10</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">p10</span> <span class="op">&lt;-</span> <span class="fl">10</span><span class="op">^</span><span class="op">(</span><span class="va">plog10</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">cf10</span> <span class="op">&lt;-</span> <span class="fu">logbtcf</span><span class="op">(</span><span class="va">lm10</span>,<span class="fl">10</span><span class="op">)</span> <span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.381993</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [1] 1.440596</span>
 <span class="r-in"><span><span class="op">(</span> <span class="va">cp10</span> <span class="op">&lt;-</span> <span class="va">cf10</span><span class="op">*</span><span class="va">p10</span> <span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>        1 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7.501769 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 5.841532 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># cfe and cf10, cpe and cp10 should be equal</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/all.equal.html" class="external-link">all.equal</a></span><span class="op">(</span><span class="va">cfe</span>,<span class="va">cf10</span><span class="op">)</span></span></span>
@@ -126,7 +126,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/lwCompPreds-1.png b/docs/reference/lwCompPreds-1.png
index b5581146..73c7ebde 100644
Binary files a/docs/reference/lwCompPreds-1.png and b/docs/reference/lwCompPreds-1.png differ
diff --git a/docs/reference/lwCompPreds-2.png b/docs/reference/lwCompPreds-2.png
index fa0c298b..51f51835 100644
Binary files a/docs/reference/lwCompPreds-2.png and b/docs/reference/lwCompPreds-2.png differ
diff --git a/docs/reference/lwCompPreds-3.png b/docs/reference/lwCompPreds-3.png
index 0001c8a2..f6957121 100644
Binary files a/docs/reference/lwCompPreds-3.png and b/docs/reference/lwCompPreds-3.png differ
diff --git a/docs/reference/lwCompPreds-4.png b/docs/reference/lwCompPreds-4.png
index ee8ca56a..1f1c12e6 100644
Binary files a/docs/reference/lwCompPreds-4.png and b/docs/reference/lwCompPreds-4.png differ
diff --git a/docs/reference/lwCompPreds-5.png b/docs/reference/lwCompPreds-5.png
index 8015018d..b5a6ef36 100644
Binary files a/docs/reference/lwCompPreds-5.png and b/docs/reference/lwCompPreds-5.png differ
diff --git a/docs/reference/lwCompPreds-6.png b/docs/reference/lwCompPreds-6.png
index b5581146..73c7ebde 100644
Binary files a/docs/reference/lwCompPreds-6.png and b/docs/reference/lwCompPreds-6.png differ
diff --git a/docs/reference/lwCompPreds.html b/docs/reference/lwCompPreds.html
index 277ad095..6c4b10a4 100644
--- a/docs/reference/lwCompPreds.html
+++ b/docs/reference/lwCompPreds.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -185,7 +185,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> logtl:loc   2  0.101   0.051   0.4932     0.612    </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> Residuals 106 10.864   0.102                       </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> ---</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co"># set graphing parameters so that the plots will look decent</span></span></span>
 <span class="r-in"><span><span class="va">op</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/graphics/par.html" class="external-link">par</a></span><span class="op">(</span>mar<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">3.5</span>,<span class="fl">3.5</span>,<span class="fl">1</span>,<span class="fl">1</span><span class="op">)</span>,mgp<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">1.8</span>,<span class="fl">0.4</span>,<span class="fl">0</span><span class="op">)</span>,tcl<span class="op">=</span><span class="op">-</span><span class="fl">0.2</span><span class="op">)</span></span></span>
@@ -224,7 +224,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/metaM.html b/docs/reference/metaM.html
index ec2c29af..57113c01 100644
--- a/docs/reference/metaM.html
+++ b/docs/reference/metaM.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -138,6 +138,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <li><p><code>method="HoenigLM"</code>: The “modified Hoenig equation derived with a linear model” as described in Then <em>et al.</em> (2015) on the second line of Table 3. Requires only <code>tmax</code>.</p></li>
 <li><p><code>method="HewittHoenig"</code>: The “Hewitt and Hoenig (2005) equation” from their equation 8. Requires only <code>tmax</code>.</p></li>
 <li><p><code>method="tmax1"</code>: The “one-parameter tmax equation” from the first line of Table 3 in Then <em>et al.</em> (2015). Requires only <code>tmax</code>.</p></li>
+<li><p><code>method="HamelCope"</code>: The equation 7 from Hamel and Cope (2022). Requires only <code>tmax</code>.</p></li>
 <li><p><code>method="K1"</code>:  The “one-parameter K equation” from the fourth line of Table 3 in Then <em>et al.</em> (2015). Requires only <code>K</code>.</p></li>
 <li><p><code>method="K2"</code>: The “two-parameter K equation” from the fifth line of Table 3 in Then <em>et al.</em> (2015). Requires only <code>K</code>.</p></li>
 <li><p><code>method="JensenK1"</code>: The “Jensen (1996) one-parameter K equation”. Requires only <code>K</code>.</p></li>
@@ -155,8 +156,8 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
     </div>
     <div class="section level2">
     <h2 id="testing">Testing<a class="anchor" aria-label="anchor" href="#testing"></a></h2>
-    <p>Kenchington (2014) provided life history parameters for several stocks and used many models to estimate M. I checked the calculations for the <code>PaulyL</code>, <code>PaulyW</code>, <code>HoenigO</code>, <code>HoenigOF</code>, <code>HoenigO2</code>, <code>HoenigO2F</code>, <code>"JensenK1"</code>, <code>"Gislason"</code>, <code>"AlversonCarney"</code>, <code>"Charnov"</code>, <code>"ZhangMegrey"</code>, <code>"RikhterEfanov1"</code>, and <code>"RikhterEfanov2"</code> methods for three stocks. All results perfectly matched Kenchington's results for Chesapeake Bay Anchovy and Rio Formosa Seahorse. For the Norwegian Fjord Lanternfish, all results perfectly matched Kenchington's results except for <code>HoenigOF</code> and <code>HoenigO2F</code>.</p>
-<p>Results for the Rio Formosa Seahorse data were also tested against results from <code><a href="https://rdrr.io/pkg/fishmethods/man/M.empirical.html" class="external-link">M.empirical</a></code> from <span class="pkg">fishmethods</span> for the <code>PaulyL</code>, <code>PaulyW</code>, <code>HoenigO</code>, <code>HoenigOF</code>, <code>"Gislason"</code>, and <code>"AlversonCarney"</code> methods (the only methods in common between the two packages). All results matched perfectly.</p>
+    <p>Kenchington (2014) provided life history parameters for several stocks and used many models to estimate M. I checked the calculations for the <code>"PaulyL"</code>, <code>"PaulyW"</code>, <code>"HoenigO"</code>, <code>"HoenigOF"</code>, <code>"HoenigO2"</code>, <code>"HoenigO2F"</code>, <code>"JensenK1"</code>, <code>"Gislason"</code>, <code>"AlversonCarney"</code>, <code>"Charnov"</code>, <code>"ZhangMegrey"</code>, <code>"RikhterEfanov1"</code>, and <code>"RikhterEfanov2"</code> methods for three stocks. All results perfectly matched Kenchington's results for Chesapeake Bay Anchovy and Rio Formosa Seahorse. For the Norwegian Fjord Lanternfish, all results perfectly matched Kenchington's results except for <code>"HoenigOF"</code> and <code>"HoenigO2F"</code>.</p>
+<p>Results for the Rio Formosa Seahorse data were also tested against results from <code><a href="https://rdrr.io/pkg/fishmethods/man/M.empirical.html" class="external-link">M.empirical</a></code> from <span class="pkg">fishmethods</span> for the <code>"PaulyL"</code>, <code>"PaulyW"</code>, <code>"HoenigO"</code>, <code>"HoenigOF"</code>, <code>"Gislason"</code>, and <code>"AlversonCarney"</code> methods (the only methods in common between the two packages). All results matched perfectly.</p>
     </div>
     <div class="section level2">
     <h2 id="ifar-chapter">IFAR Chapter<a class="anchor" aria-label="anchor" href="#ifar-chapter"></a></h2>
@@ -169,6 +170,7 @@ <h2 id="references">References<a class="anchor" aria-label="anchor" href="#refer
 <p>Chen, S. and S. Watanabe. 1989. Age dependence of natural mortality coefficient in fish population dynamics. Nippon Suisan Gakkaishi 55:205-208.</p>
 <p>Charnov, E.L., H. Gislason, and J.G. Pope. 2013. Evolutionary assembly rules for fish life histories. Fish and Fisheries. 14:213-224.</p>
 <p>Gislason, H., N. Daan, J.C. Rice, and J.G. Pope. 2010. Size, growth, temperature and the natural mortality of marine fish. Fish and Fisheries 11:149-158.</p>
+<p>Hamel, O. and J. M. Cope. 2022. Development and considerations for application of a longevity-based prior for the natural mortality rate. Fisheries Research 256:106477 [Was (is? from https://www.researchgate.net/publication/363595336_Development_and_considerations_for_application_of_a_longevity-based_prior_for_the_natural_mortality_rate).]</p>
 <p>Hewitt, D.A. and J.M. Hoenig. 2005. Comparison of two approaches for estimating natural mortality based on longevity. Fishery Bulletin. 103:433-437. [Was (is?) from http://fishbull.noaa.gov/1032/hewitt.pdf.]</p>
 <p>Hoenig, J.M. 1983. Empirical use of longevity data to estimate mortality rates. Fishery Bulletin. 82:898-903. [Was (is?) from http://www.afsc.noaa.gov/REFM/age/Docs/Hoenig_EmpiricalUseOfLongevityData.pdf.]</p>
 <p>Jensen, A.L. 1996. Beverton and Holt life history invariants result from optimal trade-off of reproduction and survival. Canadian Journal of Fisheries and Aquatic Sciences. 53:820-822. [Was (is?) from .]</p>
@@ -184,7 +186,7 @@ <h2 id="references">References<a class="anchor" aria-label="anchor" href="#refer
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>See <code><a href="https://rdrr.io/pkg/fishmethods/man/M.empirical.html" class="external-link">M.empirical</a></code> in <span class="pkg">fishmethods</span> for similar functionality.</p></div>
+    <div class="dont-index"><p>See <code><a href="https://rdrr.io/pkg/fishmethods/man/M.empirical.html" class="external-link">M.empirical</a></code> in <span class="pkg">fishmethods</span> for similar functionality and the "Natural Mortality Tool" Shiny app on-line.</p></div>
     </div>
     <div class="section level2">
     <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
@@ -199,21 +201,21 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>  [4] "HoenigOM"           "HoenigOC"           "HoenigO2"          </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  [7] "HoenigO2F"          "HoenigO2M"          "HoenigO2C"         </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> [10] "HoenigLM"           "HewittHoenig"       "tmax1"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [13] "PaulyLNoT"          "PaulyL"             "PaulyW"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [16] "K1"                 "K2"                 "JensenK1"          </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [19] "JensenK2"           "Gislason"           "AlversonCarney"    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [22] "Charnov"            "ZhangMegreyD"       "ZhangMegreyP"      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [25] "RikhterEfanov1"     "RikhterEfanov2"     "QuinnDeriso"       </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [28] "ChenWatanabe"       "PetersonWroblewski"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [13] "HamelCope"          "PaulyLNoT"          "PaulyL"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [16] "PaulyW"             "K1"                 "K2"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [19] "JensenK1"           "JensenK2"           "Gislason"          </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [22] "AlversonCarney"     "Charnov"            "ZhangMegreyD"      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [25] "ZhangMegreyP"       "RikhterEfanov1"     "RikhterEfanov2"    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [28] "QuinnDeriso"        "ChenWatanabe"       "PetersonWroblewski"</span>
 <span class="r-in"><span><span class="fu">Mmethods</span><span class="op">(</span><span class="st">"tmax"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] "tmax1"        "HoenigNLS"    "HoenigO"      "HoenigOF"     "HoenigOM"    </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [6] "HoenigOC"     "HoenigO2"     "HoenigO2F"    "HoenigO2M"    "HoenigO2C"   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [11] "HoenigLM"     "HewittHoenig"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] "HamelCope"    "tmax1"        "HoenigNLS"    "HoenigO"      "HoenigOF"    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [6] "HoenigOM"     "HoenigOC"     "HoenigO2"     "HoenigO2F"    "HoenigO2M"   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [11] "HoenigO2C"    "HoenigLM"     "HewittHoenig"</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Simple Examples</span></span></span>
-<span class="r-in"><span><span class="fu">metaM</span><span class="op">(</span><span class="st">"tmax"</span>,tmax<span class="op">=</span><span class="fl">20</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>         M        cm method                             name  givens</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1 0.25545 0.2254321  tmax1 Then et al. (2015) tmax equation tmax=20</span>
+<span class="r-in"><span><span class="fu">metaM</span><span class="op">(</span><span class="st">"HamelCope"</span>,tmax<span class="op">=</span><span class="fl">20</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>      M        cm    method                                name  givens</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1 0.27 0.2366205 HamelCope Hamel and Cope (2022) tmax equation tmax=20</span>
 <span class="r-in"><span><span class="fu">metaM</span><span class="op">(</span><span class="st">"HoenigNLS"</span>,tmax<span class="op">=</span><span class="fl">20</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>           M        cm    method                                     name</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1 0.3150387 0.2702394 HoenigNLS Then et al. (2015) Hoenig (NLS) equation</span>
@@ -280,7 +282,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Example of multiple methods using Mmethods</span></span></span>
 <span class="r-in"><span><span class="co"># select some methods</span></span></span>
-<span class="r-in"><span><span class="fu">metaM</span><span class="op">(</span><span class="fu">Mmethods</span><span class="op">(</span><span class="op">)</span><span class="op">[</span><span class="op">-</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">15</span>,<span class="fl">20</span>,<span class="fl">22</span><span class="op">:</span><span class="fl">24</span>,<span class="fl">26</span><span class="op">:</span><span class="fl">29</span><span class="op">)</span><span class="op">]</span>,K<span class="op">=</span><span class="va">K</span>,Linf<span class="op">=</span><span class="va">Linf</span>,Temp<span class="op">=</span><span class="va">Temp</span>,tmax<span class="op">=</span><span class="va">tmax</span>,t50<span class="op">=</span><span class="va">t50</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">metaM</span><span class="op">(</span><span class="fu">Mmethods</span><span class="op">(</span><span class="op">)</span><span class="op">[</span><span class="op">-</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">16</span>,<span class="fl">21</span>,<span class="fl">23</span><span class="op">:</span><span class="fl">25</span>,<span class="fl">27</span><span class="op">:</span><span class="fl">30</span><span class="op">)</span><span class="op">]</span>,K<span class="op">=</span><span class="va">K</span>,Linf<span class="op">=</span><span class="va">Linf</span>,Temp<span class="op">=</span><span class="va">Temp</span>,tmax<span class="op">=</span><span class="va">tmax</span>,t50<span class="op">=</span><span class="va">t50</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>            M        cm         method</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1  1.6028619 0.7986805      HoenigNLS</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2  1.2741252 0.7203245        HoenigO</span>
@@ -294,14 +296,15 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 10 1.6243510 0.8029605       HoenigLM</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 11 1.2462517 0.7124193   HewittHoenig</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 12 1.5087915 0.7788229          tmax1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13 1.3304645 0.7356455      PaulyLNoT</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14 1.1405804 0.6803665         PaulyL</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15 1.3197600 0.7328006             K1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16 1.3070000 0.7293693             K2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17 1.1700000 0.6896331       JensenK1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18 1.3566000 0.7424651       JensenK2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19 1.3539801 0.7417895 AlversonCarney</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20 1.0500095 0.6500656 RikhterEfanov1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13 1.5947297 0.7970366      HamelCope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14 1.3304645 0.7356455      PaulyLNoT</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15 1.1405804 0.6803665         PaulyL</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16 1.3197600 0.7328006             K1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17 1.3070000 0.7293693             K2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18 1.1700000 0.6896331       JensenK1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19 1.3566000 0.7424651       JensenK2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20 1.3539801 0.7417895 AlversonCarney</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21 1.0500095 0.6500656 RikhterEfanov1</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>                                           name                      givens</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 1     Then et al. (2015) Hoenig (NLS) equation              tmax=3.3861538</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 2        Hoenig (1983) combined equation (OLS)              tmax=3.3861538</span>
@@ -315,14 +318,15 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> 10     Then et al. (2015) Hoenig (LM) equation              tmax=3.3861538</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 11        Hewitt &amp; Hoenig (2005) tmax equation              tmax=3.3861538</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> 12            Then et al. (2015) tmax equation              tmax=3.3861538</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13     Then et al. (2015) Pauly_NLS-T equation          K=0.78, Linf=17.71</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14                Pauly (1980) length equation K=0.78, Linf=17.71, Temp=11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 15 Then et al. (2015) one-parameter K equation                      K=0.78</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 16 Then et al. (2015) two-parameter K equation                      K=0.78</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17      Jensen (1996) one parameter K equation                      K=0.78</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18      Jensen (2001) two parameter K equation                      K=0.78</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19           Alverson &amp; Carney (1975) equation      tmax=3.3861538, K=0.78</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20         Richter &amp; Evanov (1976) equation #1               t50=1.3818805</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 13         Hamel and Cope (2022) tmax equation              tmax=3.3861538</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 14     Then et al. (2015) Pauly_NLS-T equation          K=0.78, Linf=17.71</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 15                Pauly (1980) length equation K=0.78, Linf=17.71, Temp=11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 16 Then et al. (2015) one-parameter K equation                      K=0.78</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 17 Then et al. (2015) two-parameter K equation                      K=0.78</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 18      Jensen (1996) one parameter K equation                      K=0.78</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 19      Jensen (2001) two parameter K equation                      K=0.78</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 20           Alverson &amp; Carney (1975) equation      tmax=3.3861538, K=0.78</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 21         Richter &amp; Evanov (1976) equation #1               t50=1.3818805</span>
 <span class="r-in"><span><span class="co"># select just the Hoenig methods</span></span></span>
 <span class="r-in"><span><span class="fu">metaM</span><span class="op">(</span><span class="fu">Mmethods</span><span class="op">(</span><span class="st">"Hoenig"</span><span class="op">)</span>,K<span class="op">=</span><span class="va">K</span>,Linf<span class="op">=</span><span class="va">Linf</span>,Temp<span class="op">=</span><span class="va">Temp</span>,tmax<span class="op">=</span><span class="va">tmax</span>,t50<span class="op">=</span><span class="va">t50</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>            M        cm       method                                     name</span>
@@ -384,7 +388,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/mrClosed-1.png b/docs/reference/mrClosed-1.png
index ee59b16e..fae5c82e 100644
Binary files a/docs/reference/mrClosed-1.png and b/docs/reference/mrClosed-1.png differ
diff --git a/docs/reference/mrClosed-2.png b/docs/reference/mrClosed-2.png
index eec0926f..4eabcd06 100644
Binary files a/docs/reference/mrClosed-2.png and b/docs/reference/mrClosed-2.png differ
diff --git a/docs/reference/mrClosed.html b/docs/reference/mrClosed.html
index 8493f786..35d8c5a3 100644
--- a/docs/reference/mrClosed.html
+++ b/docs/reference/mrClosed.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -506,7 +506,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/mrOpen.html b/docs/reference/mrOpen.html
index 01ae6ac9..73babc2f 100644
--- a/docs/reference/mrOpen.html
+++ b/docs/reference/mrOpen.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -409,7 +409,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/nlsBoot.html b/docs/reference/nlsBoot.html
index 179fc887..5bca4eea 100644
--- a/docs/reference/nlsBoot.html
+++ b/docs/reference/nlsBoot.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -199,7 +199,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/nlsTracePlot-1.png b/docs/reference/nlsTracePlot-1.png
index 35c48d3a..b119ea2e 100644
Binary files a/docs/reference/nlsTracePlot-1.png and b/docs/reference/nlsTracePlot-1.png differ
diff --git a/docs/reference/nlsTracePlot-2.png b/docs/reference/nlsTracePlot-2.png
index 7a224e2d..d210087d 100644
Binary files a/docs/reference/nlsTracePlot-2.png and b/docs/reference/nlsTracePlot-2.png differ
diff --git a/docs/reference/nlsTracePlot.html b/docs/reference/nlsTracePlot.html
index 09a1807b..7b5deaa3 100644
--- a/docs/reference/nlsTracePlot.html
+++ b/docs/reference/nlsTracePlot.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -187,7 +187,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/perc.html b/docs/reference/perc.html
index 692077ba..78626473 100644
--- a/docs/reference/perc.html
+++ b/docs/reference/perc.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -131,7 +131,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/plotAB-1.png b/docs/reference/plotAB-1.png
index 33defbe5..9864537b 100644
Binary files a/docs/reference/plotAB-1.png and b/docs/reference/plotAB-1.png differ
diff --git a/docs/reference/plotAB-2.png b/docs/reference/plotAB-2.png
index 1554ad9c..0972827f 100644
Binary files a/docs/reference/plotAB-2.png and b/docs/reference/plotAB-2.png differ
diff --git a/docs/reference/plotAB-3.png b/docs/reference/plotAB-3.png
index 8d834a24..a6662934 100644
Binary files a/docs/reference/plotAB-3.png and b/docs/reference/plotAB-3.png differ
diff --git a/docs/reference/plotAB-4.png b/docs/reference/plotAB-4.png
index 939342b7..f1cf73b7 100644
Binary files a/docs/reference/plotAB-4.png and b/docs/reference/plotAB-4.png differ
diff --git a/docs/reference/plotAB.html b/docs/reference/plotAB.html
index e438e7c5..4ec7fcfd 100644
--- a/docs/reference/plotAB.html
+++ b/docs/reference/plotAB.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -119,7 +119,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-sfrac">sfrac<a class="anchor" aria-label="anchor" href="#arg-sfrac"></a></dt>
-<dd><p>A numeric that controls the separate ‘sfrac’ arguments (e.g., <code>sfrac.CI</code> and <code>sfrac.range</code>). See <code>sfrac</code> in <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
+<dd><p>A numeric that controls the separate ‘sfrac’ arguments (e.g., <code>sfrac.CI</code> and <code>sfrac.range</code>). See <code>sfrac</code> in <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
 
 
 <dt id="arg-pch-mean">pch.mean<a class="anchor" aria-label="anchor" href="#arg-pch-mean"></a></dt>
@@ -147,7 +147,7 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 
 
 <dt id="arg-sfrac-ci">sfrac.CI<a class="anchor" aria-label="anchor" href="#arg-sfrac-ci"></a></dt>
-<dd><p>A numeric for the size of the ends of the confidence interval bars. See <code>sfrac</code> in <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
+<dd><p>A numeric for the size of the ends of the confidence interval bars. See <code>sfrac</code> in <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></code> of <span class="pkg">plotrix</span>.</p></dd>
 
 
 <dt id="arg-show-n">show.n<a class="anchor" aria-label="anchor" href="#arg-show-n"></a></dt>
@@ -233,7 +233,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/poiCI.html b/docs/reference/poiCI.html
index 72f1e9a1..df716848 100644
--- a/docs/reference/poiCI.html
+++ b/docs/reference/poiCI.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -143,7 +143,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/psdAdd.html b/docs/reference/psdAdd.html
index ad85d336..23790ff9 100644
--- a/docs/reference/psdAdd.html
+++ b/docs/reference/psdAdd.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,6 +54,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span><span class="fu">psdAdd</span><span class="op">(</span></span>
 <span>  <span class="va">len</span>,</span>
 <span>  <span class="va">species</span>,</span>
+<span>  thesaurus <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  group <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  units <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mm"</span>, <span class="st">"cm"</span>, <span class="st">"in"</span><span class="op">)</span>,</span>
 <span>  use.names <span class="op">=</span> <span class="cn">TRUE</span>,</span>
@@ -67,6 +68,7 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span><span class="fu">psdAdd</span><span class="op">(</span></span>
 <span>  <span class="va">len</span>,</span>
 <span>  data <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  thesaurus <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  group <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  units <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"mm"</span>, <span class="st">"cm"</span>, <span class="st">"in"</span><span class="op">)</span>,</span>
 <span>  use.names <span class="op">=</span> <span class="cn">TRUE</span>,</span>
@@ -93,6 +95,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A character or factor vector that contains the species names. Ignored if <code>len</code> is a formula.</p></dd>
 
 
+<dt id="arg-thesaurus">thesaurus<a class="anchor" aria-label="anchor" href="#arg-thesaurus"></a></dt>
+<dd><p>A named list for providing alternative species names (the values in the list) that correspond to specific names in <code>PSDlit</code> (the names in the list). See details and examples.</p></dd>
+
+
 <dt id="arg-group">group<a class="anchor" aria-label="anchor" href="#arg-group"></a></dt>
 <dd><p>A named list that provides specific choices for <code>group</code> for species for which more than one set of Gabelhouse lengths exists in <code><a href="PSDlit.html">PSDlit</a></code>.</p></dd>
 
@@ -128,7 +134,8 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>This computes a vector that contains the Gabelhouse lengths specific to each species for all individuals in an entire data frame. The vector can be appended to an existing data.frame to create a variable that contains the Gabelhouse lengths for each individual. The Gabelhouse length value will be <code>NA</code> for each individual for which Gabelhouse length definitions do not exist in <code><a href="PSDlit.html">PSDlit</a></code>. Species names in the data.frame must be the same as those used in <code><a href="PSDlit.html">PSDlit</a></code> (i.e., same spelling and capitalization; use <code><a href="psdVal.html">psdVal()</a></code> to see the list of species).</p>
-<p>Some species have Gabelhouse lengths for sub-groups (e.g., “lentic” vs “lotic”). For these species, choose which sub-group to use with <code>group</code>.</p>
+<p>The <code>thesaurus</code> argument may be used to relate alternate species names to the species names used in <code>PSDlit</code>. For example, you (or your data) may use “Bluegill Sunfish”, but “Bluegill” is used in <code>PSDlit</code>. The alternate species name can be used here if it is defined in a named vector (or list) given to <code>thesarus=</code>. The alternate species name is the value and the species name in <code>PSDlit</code> is the name in this vector/list - e.g., <code>c("Bluegill"="Bluegill Sunfish")</code>. See the examples for a demonstration.</p>
+<p>Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in <code>species</code> and the sub-group name in <code>group</code> or by using the combined species and sub-group name, with the sub-group name in parentheses, in <code>species</code>. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.#'</p>
 <p>Individuals shorter than “stock” length will be listed as <code>substock</code> if <code>use.names=TRUE</code> or <code>0</code> if <code>use.names=FALSE</code>.</p>
 <p>Additional lengths to be used for a species may be included by giving a named list with vectors of additional lengths in <code>addLens</code>. Note, however, that <code>as.fact</code> will be reset to <code>FALSE</code> if <code>addLens</code> are specified, as there is no way to order the names (i.e., factor levels) for all species when additional lengths are used.</p>
 <p>See examples and <a href="https://fishr-core-team.github.io/FSA/articles/Computing_PSDs.html">this article</a> for a demonstration.</p>
@@ -155,151 +162,260 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">#===== Create random data for three species</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">345234534</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dbg</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">130</span>,<span class="fl">50</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dlb</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Largemouth Bass"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">350</span>,<span class="fl">60</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dbt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluefin Tuna"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">1900</span>,<span class="fl">300</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">dbg</span>,<span class="va">dlb</span>,<span class="va">dbt</span><span class="op">)</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">#===== Simple examples -- 2 species, no groups, names as in PSDlit</span></span></span>
+<span class="r-in"><span><span class="co">#----- Isolate simple data from PSDWRtest</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,</span></span>
+<span class="r-in"><span>              <span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span>,<span class="st">"Largemouth Bass"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 412  Largemouth Bass 183</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 463  Largemouth Bass 319</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 860     Yellow Perch 180</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 912     Yellow Perch 170</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 964     Yellow Perch 266</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Simple examples</span></span></span>
 <span class="r-in"><span><span class="co">#----- Add variable using category names -- non-formula notation</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">PSD</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">tl</span>,<span class="va">df</span><span class="op">$</span><span class="va">species</span><span class="op">)</span></span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Species in the data with no Gabelhouse (PSD) lengths in `PSDlit`:</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>   "Bluefin Tuna".</span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">df</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species   tl       PSD</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         Bluegill   42  substock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18        Bluegill  120     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 Largemouth Bass  491 preferred</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 Largemouth Bass  293     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72    Bluefin Tuna 2476      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 90    Bluefin Tuna 1551      &lt;NA&gt;</span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">PSD</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tmp</span><span class="op">$</span><span class="va">len</span>,<span class="va">tmp</span><span class="op">$</span><span class="va">species</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len       PSD</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 412  Largemouth Bass 183  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 463  Largemouth Bass 319   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 860     Yellow Perch 180     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 912     Yellow Perch 170     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 964     Yellow Perch 266 preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322 memorable</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Add variable using category names -- formula notation</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">PSD1</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df</span><span class="op">)</span></span></span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span> Species in the data with no Gabelhouse (PSD) lengths in `PSDlit`:</span>
-<span class="r-msg co"><span class="r-pr">#&gt;</span>   "Bluefin Tuna".</span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">df</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species   tl       PSD      PSD1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         Bluegill   42  substock  substock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18        Bluegill  120     stock     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 Largemouth Bass  491 preferred preferred</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 Largemouth Bass  293     stock     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72    Bluefin Tuna 2476      &lt;NA&gt;      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 90    Bluefin Tuna 1551      &lt;NA&gt;      &lt;NA&gt;</span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">PSD1</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len       PSD      PSD1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 412  Largemouth Bass 183  substock  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 463  Largemouth Bass 319   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 860     Yellow Perch 180     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 912     Yellow Perch 170     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 964     Yellow Perch 266 preferred preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322 memorable memorable</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Add variable using length values as names</span></span></span>
-<span class="r-in"><span><span class="co">#      Also turned off messaging of fish not in PSDlit</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">PSD2</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df</span>,use.names<span class="op">=</span><span class="cn">FALSE</span>,verbose<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">df</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species   tl       PSD      PSD1 PSD2</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         Bluegill   42  substock  substock    0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18        Bluegill  120     stock     stock   80</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 Largemouth Bass  491 preferred preferred  380</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 Largemouth Bass  293     stock     stock  200</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72    Bluefin Tuna 2476      &lt;NA&gt;      &lt;NA&gt;   NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 90    Bluefin Tuna 1551      &lt;NA&gt;      &lt;NA&gt;   NA</span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">PSD2</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,use.names<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len       PSD      PSD1 PSD2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 412  Largemouth Bass 183  substock  substock    0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 463  Largemouth Bass 319   quality   quality  300</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 860     Yellow Perch 180     stock     stock  130</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 912     Yellow Perch 170     stock     stock  130</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 964     Yellow Perch 266 preferred preferred  250</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322 memorable memorable  300</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Same as above but using dplyr</span></span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
-<span class="r-in"><span>  <span class="va">df</span> <span class="op">&lt;-</span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
-<span class="r-in"><span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>PSD1A<span class="op">=</span><span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span>,<span class="va">species</span>,verbose<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>           PSD2A<span class="op">=</span><span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span>,<span class="va">species</span>,use.names<span class="op">=</span><span class="cn">FALSE</span>,verbose<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span>  <span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">df</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">tmp</span> <span class="op">&lt;-</span> <span class="va">tmp</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>PSD1A<span class="op">=</span><span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span>,<span class="va">species</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>           PSD2A<span class="op">=</span><span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span>,<span class="va">species</span>,use.names<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">}</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species   tl       PSD      PSD1 PSD2     PSD1A PSD2A</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         Bluegill   42  substock  substock    0  substock     0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 18        Bluegill  120     stock     stock   80     stock    80</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 Largemouth Bass  491 preferred preferred  380 preferred   380</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 Largemouth Bass  293     stock     stock  200     stock   200</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 72    Bluefin Tuna 2476      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 90    Bluefin Tuna 1551      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len       PSD      PSD1 PSD2     PSD1A PSD2A</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 412  Largemouth Bass 183  substock  substock    0  substock     0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 463  Largemouth Bass 319   quality   quality  300   quality   300</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 860     Yellow Perch 180     stock     stock  130     stock   130</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 912     Yellow Perch 170     stock     stock  130     stock   130</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 964     Yellow Perch 266 preferred preferred  250 preferred   250</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322 memorable memorable  300 memorable   300</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Add lengths besides Gabelhouse lengths (start over with same simple data)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,</span></span>
+<span class="r-in"><span>              <span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span>,<span class="st">"Largemouth Bass"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#----- Add a "minimum length" for one species</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">PSD3</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                   addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">225</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">PSD3A</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                    addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span><span class="op">=</span><span class="fl">225</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">PSD3B</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                    addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">225</span><span class="op">)</span><span class="op">)</span>,use.names<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>             species len     PSD3    PSD3A PSD3B</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 412 Largemouth Bass 183 substock substock     0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 413 Largemouth Bass 208    stock    stock   200</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 414 Largemouth Bass 200    stock    stock   200</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 415 Largemouth Bass 200    stock    stock   200</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 416 Largemouth Bass 191 substock substock     0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 417 Largemouth Bass 207    stock    stock   200</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#----- Add add'l lengths and names for multiple species</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">psd4</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                   addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span><span class="op">=</span><span class="fl">175</span>,</span></span>
+<span class="r-in"><span>                                <span class="st">"Largemouth Bass"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">254</span>,<span class="fl">306</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">20</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len      PSD3     PSD3A PSD3B      psd4</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 412  Largemouth Bass 183  substock  substock     0  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 425  Largemouth Bass 202     stock     stock   200     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 438  Largemouth Bass 213     stock     stock   200     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 452  Largemouth Bass 296     stock     stock   200       254</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 466  Largemouth Bass 295     stock     stock   200       254</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 479  Largemouth Bass 316   quality   quality   300       306</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 493  Largemouth Bass 335   quality   quality   300       306</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 852     Yellow Perch 146     stock     stock   130     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 865     Yellow Perch 170     stock     stock   130     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 879     Yellow Perch 182     stock     stock   130       175</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 893     Yellow Perch 172     stock     stock   130     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 907     Yellow Perch 148     stock     stock   130     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 920     Yellow Perch 135     stock     stock   130     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 934     Yellow Perch 141     stock     stock   130     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 948     Yellow Perch 203   quality   quality   200   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 961     Yellow Perch 244    minLen       225   225   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 975     Yellow Perch 249    minLen       225   225   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 989     Yellow Perch 228    minLen       225   225   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1002    Yellow Perch 306 memorable memorable   300 memorable</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322 memorable memorable   300 memorable</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Handle additional species in PSDlit but named differently</span></span></span>
+<span class="r-in"><span><span class="co">#----- Isolate different species data from PSDWRtest</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,</span></span>
+<span class="r-in"><span>              <span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluegill Sunfish"</span>,<span class="st">"Lean Lake Trout"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#----- No "Bluegill Sunfish" in PSDlit, use thesaurus to note this is "Bluegill"</span></span></span>
+<span class="r-in"><span><span class="co">#        Note: "Lean Lake Trout" not processed as not in PSDlit</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">psd5</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                   thesaurus<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">=</span><span class="st">"Bluegill Sunfish"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span> Species in the data with no Gabelhouse (PSD) lengths in `PSDlit`: "Lean</span>
+<span class="r-msg co"><span class="r-pr">#&gt;</span>   Lake Trout".</span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len    psd5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   Bluegill Sunfish 107   stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 44  Bluegill Sunfish 154 quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 88  Bluegill Sunfish 172 quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 513  Lean Lake Trout 500    &lt;NA&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 557  Lean Lake Trout 478    &lt;NA&gt;</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 601  Lean Lake Trout 829    &lt;NA&gt;</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#----- Process multiple species in PSDlit with different names</span></span></span>
+<span class="r-in"><span><span class="co">#        Note: Can still use addLens=, but with original name</span></span></span>
+<span class="r-in"><span><span class="va">thes</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">=</span><span class="st">"Bluegill Sunfish"</span>,<span class="st">"Lake Trout"</span><span class="op">=</span><span class="st">"Lean Lake Trout"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">psd6</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,thesaurus<span class="op">=</span><span class="va">thes</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">psd7</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,thesaurus<span class="op">=</span><span class="va">thes</span>,</span></span>
+<span class="r-in"><span>                   addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Bluegill Sunfish"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">175</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">20</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len      psd5      psd6      psd7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   Bluegill Sunfish 107     stock     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 12  Bluegill Sunfish 108     stock     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 23  Bluegill Sunfish  85     stock     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 35  Bluegill Sunfish 136     stock     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 46  Bluegill Sunfish 167   quality   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 58  Bluegill Sunfish 165   quality   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 69  Bluegill Sunfish 164   quality   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 81  Bluegill Sunfish 144     stock     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 93  Bluegill Sunfish 103     stock     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 104 Bluegill Sunfish 156   quality   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 116 Bluegill Sunfish 215 preferred preferred preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 508  Lean Lake Trout 274      &lt;NA&gt;  substock  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 520  Lean Lake Trout 448      &lt;NA&gt;     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 532  Lean Lake Trout 487      &lt;NA&gt;     stock     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 543  Lean Lake Trout 512      &lt;NA&gt;   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 555  Lean Lake Trout 521      &lt;NA&gt;   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 566  Lean Lake Trout 503      &lt;NA&gt;   quality   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 578  Lean Lake Trout 781      &lt;NA&gt; preferred preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 589  Lean Lake Trout 770      &lt;NA&gt; preferred preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 601  Lean Lake Trout 829      &lt;NA&gt; memorable memorable</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Example for a species with sub-groups but only one sub-group in data</span></span></span>
+<span class="r-in"><span><span class="co">#----- Isolate species data from PSDWRtest ... only Brook Trout has sub-group</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,</span></span>
+<span class="r-in"><span>              <span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span>,<span class="st">"Brook Trout"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#----- This will err as Brook Trout has sub-groups in PSDlit (as message notes)</span></span></span>
+<span class="r-in"><span><span class="co"># tmp$psd8 &lt;- psdAdd(len~species,data=tmp)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#----- Can choose "overall" sub-group with group=</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">psd8</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                   group<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Brook Trout"</span><span class="op">=</span><span class="st">"overall"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           species len      psd8</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121   Brook Trout 147  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148   Brook Trout 241     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 176   Brook Trout 250     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 849  Yellow Perch 133     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 877  Yellow Perch 101  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 905  Yellow Perch 123  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 933  Yellow Perch 141     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 960  Yellow Perch 277 preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 988  Yellow Perch 257 preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016 Yellow Perch 322 memorable</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Adding lengths besides the Gabelhouse lengths</span></span></span>
-<span class="r-in"><span><span class="co">#----- Add a "minimum length" for Bluegill</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">PSD3</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df</span>,verbose<span class="op">=</span><span class="cn">FALSE</span>,</span></span>
-<span class="r-in"><span>                  addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">175</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">PSD3A</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df</span>,verbose<span class="op">=</span><span class="cn">FALSE</span>,</span></span>
-<span class="r-in"><span>                   addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">=</span><span class="fl">175</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">PSD3B</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df</span>,verbose<span class="op">=</span><span class="cn">FALSE</span>,</span></span>
-<span class="r-in"><span>                   addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">175</span><span class="op">)</span><span class="op">)</span>,use.names<span class="op">=</span><span class="cn">FALSE</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/head.html" class="external-link">head</a></span><span class="op">(</span><span class="va">df</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    species  tl      PSD     PSD1 PSD2    PSD1A PSD2A     PSD3    PSD3A PSD3B</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1 Bluegill  42 substock substock    0 substock     0 substock substock     0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 2 Bluegill  73 substock substock    0 substock     0 substock substock     0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3 Bluegill 152  quality  quality  150  quality   150  quality  quality   150</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 4 Bluegill 184  quality  quality  150  quality   150   minLen      175   175</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5 Bluegill 167  quality  quality  150  quality   150  quality  quality   150</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 6 Bluegill  94    stock    stock   80    stock    80    stock    stock    80</span>
+<span class="r-in"><span><span class="co">#----- Or can create species name with sub-group name in parentheses</span></span></span>
+<span class="r-in"><span><span class="co">#        Note: this is more useful in next examples</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">species2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">tmp</span><span class="op">$</span><span class="va">species</span><span class="op">==</span><span class="st">"Brook Trout"</span>,<span class="st">"Brook Trout (overall)"</span>,</span></span>
+<span class="r-in"><span>                       <span class="va">tmp</span><span class="op">$</span><span class="va">species</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">psd8A</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species2</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span> <span class="co"># note use of species2</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           species len      psd8              species2     psd8A</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 121   Brook Trout 147  substock Brook Trout (overall)  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 148   Brook Trout 241     stock Brook Trout (overall)     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 176   Brook Trout 250     stock Brook Trout (overall)     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 849  Yellow Perch 133     stock          Yellow Perch     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 877  Yellow Perch 101  substock          Yellow Perch  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 905  Yellow Perch 123  substock          Yellow Perch  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 933  Yellow Perch 141     stock          Yellow Perch     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 960  Yellow Perch 277 preferred          Yellow Perch preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 988  Yellow Perch 257 preferred          Yellow Perch preferred</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016 Yellow Perch 322 memorable          Yellow Perch memorable</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#----- Add add'l lengths and names for Bluegill and Largemouth Bass</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">psd4</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df</span>,verbose<span class="op">=</span><span class="cn">FALSE</span>,</span></span>
-<span class="r-in"><span>                  addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">=</span><span class="fl">175</span>,</span></span>
-<span class="r-in"><span>                               <span class="st">"Largemouth Bass"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">254</span>,<span class="fl">356</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">df</span>,n<span class="op">=</span><span class="fl">20</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species   tl       PSD      PSD1 PSD2     PSD1A PSD2A      PSD3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1         Bluegill   42  substock  substock    0  substock     0  substock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5         Bluegill  167   quality   quality  150   quality   150   quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9         Bluegill   86     stock     stock   80     stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14        Bluegill  124     stock     stock   80     stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19        Bluegill  155   quality   quality  150   quality   150   quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24        Bluegill  108     stock     stock   80     stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28        Bluegill   94     stock     stock   80     stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33 Largemouth Bass  433 preferred preferred  380 preferred   380 preferred</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38 Largemouth Bass  293     stock     stock  200     stock   200     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43 Largemouth Bass  396 preferred preferred  380 preferred   380 preferred</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47 Largemouth Bass  268     stock     stock  200     stock   200     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52 Largemouth Bass  279     stock     stock  200     stock   200     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 Largemouth Bass  345   quality   quality  300   quality   300   quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62    Bluefin Tuna 2064      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66    Bluefin Tuna 2273      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71    Bluefin Tuna 1785      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76    Bluefin Tuna 1596      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 81    Bluefin Tuna 1692      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 85    Bluefin Tuna 1997      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 90    Bluefin Tuna 1551      &lt;NA&gt;      &lt;NA&gt;   NA      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>        PSD3A PSD3B      psd4</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1   substock     0  substock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 5    quality   150   quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 9      stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 14     stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 19   quality   150   quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24     stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 28     stock    80     stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33 preferred   380 preferred</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38     stock   200       254</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43 preferred   380 preferred</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47     stock   200       254</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52     stock   200       254</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57   quality   300   quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 62      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 66      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 71      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 76      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 81      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 85      &lt;NA&gt;    NA      &lt;NA&gt;</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 90      &lt;NA&gt;    NA      &lt;NA&gt;</span>
+<span class="r-in"><span><span class="co">#===== Example for species with more than one sub-group in data</span></span></span>
+<span class="r-in"><span><span class="co">#----- Isolate species data from PSDWRtest ... Brown Trout has two sub-groups</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,</span></span>
+<span class="r-in"><span>              <span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span>,<span class="st">"Largemouth Bass"</span>,<span class="st">"Brown Trout"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"location"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len     location</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 201      Brown Trout 128   Trout Lake</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 249      Brown Trout 269   Trout Lake</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 298      Brown Trout 207 Brushy Creek</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 346      Brown Trout 298 Brushy Creek</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 427  Largemouth Bass 198    Bass Lake</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 476  Largemouth Bass 285    Bass Lake</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 870     Yellow Perch 190    Bass Lake</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 918     Yellow Perch 197    Bass Lake</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 967     Yellow Perch 239    Bass Lake</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322    Bass Lake</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Example for a species with sub-groups</span></span></span>
-<span class="r-in"><span><span class="va">dbt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Brown Trout"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">230</span>,<span class="fl">50</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dlt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Lake Trout"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">550</span>,<span class="fl">60</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">df2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">dbt</span>,<span class="va">dlt</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#----- Must create a species name variable with sub-groups in parentheses</span></span></span>
+<span class="r-in"><span><span class="co">#        Note: there are likely many ways to do this specific to each use-case</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">species2</span> <span class="op">&lt;-</span> <span class="va">tmp</span><span class="op">$</span><span class="va">species</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">species2</span><span class="op">[</span><span class="va">tmp</span><span class="op">$</span><span class="va">species</span><span class="op">==</span><span class="st">"Brown Trout"</span> <span class="op">&amp;</span> </span></span>
+<span class="r-in"><span>             <span class="va">tmp</span><span class="op">$</span><span class="va">location</span><span class="op">==</span><span class="st">"Trout Lake"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="st">"Brown Trout (lotic)"</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">species2</span><span class="op">[</span><span class="va">tmp</span><span class="op">$</span><span class="va">species</span><span class="op">==</span><span class="st">"Brown Trout"</span> <span class="op">&amp;</span> </span></span>
+<span class="r-in"><span>             <span class="va">tmp</span><span class="op">$</span><span class="va">location</span><span class="op">==</span><span class="st">"Brushy Creek"</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="st">"Brown Trout (lentic)"</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len     location             species2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 201      Brown Trout 128   Trout Lake  Brown Trout (lotic)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 249      Brown Trout 269   Trout Lake  Brown Trout (lotic)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 298      Brown Trout 207 Brushy Creek Brown Trout (lentic)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 346      Brown Trout 298 Brushy Creek Brown Trout (lentic)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 427  Largemouth Bass 198    Bass Lake      Largemouth Bass</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 476  Largemouth Bass 285    Bass Lake      Largemouth Bass</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 870     Yellow Perch 190    Bass Lake         Yellow Perch</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 918     Yellow Perch 197    Bass Lake         Yellow Perch</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 967     Yellow Perch 239    Bass Lake         Yellow Perch</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322    Bass Lake         Yellow Perch</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="va">df2</span><span class="op">$</span><span class="va">psd</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">tl</span><span class="op">~</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df2</span>,group<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Brown Trout"</span><span class="op">=</span><span class="st">"lentic"</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">df2</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>        species  tl      psd</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  Brown Trout 194 substock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 12 Brown Trout 215    stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 24 Brown Trout 241    stock</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36  Lake Trout 629  quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48  Lake Trout 536  quality</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60  Lake Trout 571  quality</span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">psd9</span> <span class="op">&lt;-</span> <span class="fu">psdAdd</span><span class="op">(</span><span class="va">len</span><span class="op">~</span><span class="va">species2</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len     location             species2      psd9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 201      Brown Trout 128   Trout Lake  Brown Trout (lotic)  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 249      Brown Trout 269   Trout Lake  Brown Trout (lotic)   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 298      Brown Trout 207 Brushy Creek Brown Trout (lentic)     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 346      Brown Trout 298 Brushy Creek Brown Trout (lentic)     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 427  Largemouth Bass 198    Bass Lake      Largemouth Bass  substock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 476  Largemouth Bass 285    Bass Lake      Largemouth Bass     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 870     Yellow Perch 190    Bass Lake         Yellow Perch     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 918     Yellow Perch 197    Bass Lake         Yellow Perch     stock</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 967     Yellow Perch 239    Bass Lake         Yellow Perch   quality</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322    Bass Lake         Yellow Perch memorable</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -312,7 +428,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/psdCI.html b/docs/reference/psdCI.html
index 6679fdb6..7469945b 100644
--- a/docs/reference/psdCI.html
+++ b/docs/reference/psdCI.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -202,7 +202,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/psdCalc.html b/docs/reference/psdCalc.html
index b2fb1639..b399a22d 100644
--- a/docs/reference/psdCalc.html
+++ b/docs/reference/psdCalc.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -164,145 +164,155 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">#===== Random length data for Yellow Perch (for example) to the nearest mm</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">633437</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">yepdf</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>yepmm<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">100</span>,mean<span class="op">=</span><span class="fl">125</span>,sd<span class="op">=</span><span class="fl">15</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                                  <span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">50</span>,mean<span class="op">=</span><span class="fl">200</span>,sd<span class="op">=</span><span class="fl">25</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                                  <span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">20</span>,mean<span class="op">=</span><span class="fl">270</span>,sd<span class="op">=</span><span class="fl">40</span><span class="op">)</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                    species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span>,<span class="fl">170</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span>                    </span></span>
-<span class="r-in"><span><span class="co">#===== Simple (typical) uses with just Gabelhouse lengths</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">#===== Simple (typical) uses with just Gabelhouse lengths</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span><span class="op">==</span><span class="st">"Yellow Perch"</span>,select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- All results</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         40      27      54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P         14       5      23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M          5       0      10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       60      46      73</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       27      15      38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M        9       1      17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T        5       0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         48      36      59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P         31      21      42</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M          5       0      11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       52      41      64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       16       8      25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M       26      16      36</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T        5       0      11</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Just the traditional indices</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,what<span class="op">=</span><span class="st">"traditional"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,what<span class="op">=</span><span class="st">"traditional"</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>       Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q       40      27      54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P       14       5      23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M        5       0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q       48      36      59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P       31      21      42</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M        5       0      11</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Just the incremental indices</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,what<span class="op">=</span><span class="st">"incremental"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,what<span class="op">=</span><span class="st">"incremental"</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       60      46      73</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       27      15      38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M        9       1      17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T        5       0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       52      41      64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       16       8      25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M       26      16      36</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T        5       0      11</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#===== Add a custom length of interest (to the Gabelhouse lengths)</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,addLens<span class="op">=</span><span class="fl">150</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,addLens<span class="op">=</span><span class="fl">150</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>           Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-150         67      53      81</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q           40      26      55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P           14       4      24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-150         84      74      93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q           48      35      60</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P           31      20      43</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M            5       0      11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-150       33      19      47</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD 150-Q       27      14      40</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P         27      14      40</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M          9       1      18</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-150       16       7      26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD 150-Q       36      24      48</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P         16       7      26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M         26      15      37</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T          5       0      11</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Additional lengths can be named</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">150</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">150</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>              Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minLen         67      53      81</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q              40      26      55</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P              14       4      24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minLen         84      74      93</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q              48      35      60</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P              31      20      43</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M               5       0      11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-minLen       33      19      47</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD minLen-Q       27      14      40</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P            27      14      40</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M             9       1      18</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-minLen       16       7      26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD minLen-Q       36      24      48</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P            16       7      26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M            26      15      37</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T             5       0      11</span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,</span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,</span></span>
 <span class="r-in"><span>        addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minLen"</span><span class="op">=</span><span class="fl">150</span>,<span class="st">"maxslot"</span><span class="op">=</span><span class="fl">275</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>               Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minLen          67      52      82</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q               40      25      56</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P               14       3      25</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-maxslot          9       0      18</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M                5       0      11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-minLen        33      18      48</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD minLen-Q        27      13      41</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P             27      13      41</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-maxslot        5       0      11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD maxslot-M        5       0      11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T              5       0      11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minLen          84      74      94</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q               48      34      61</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P               31      19      44</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-maxslot         14       5      24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M                5       0      12</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-minLen        16       6      26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD minLen-Q        36      23      49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P             16       6      26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-maxslot       17       7      27</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD maxslot-M        9       1      17</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T              5       0      12</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Can return just those results that include the additional lengths</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,</span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,</span></span>
 <span class="r-in"><span>        addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minSlot"</span><span class="op">=</span><span class="fl">150</span>,<span class="st">"maxSlot"</span><span class="op">=</span><span class="fl">275</span><span class="op">)</span>,justAdds<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>               Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minSlot         67      52      82</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-maxSlot          9       0      18</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-minSlot       33      18      48</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD minSlot-Q       27      13      41</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-maxSlot        5       0      11</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD maxSlot-M        5       0      11</span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,</span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minSlot         84      74      94</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-maxSlot         14       5      24</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-minSlot       16       6      26</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD minSlot-Q       36      23      49</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-maxSlot       17       7      27</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD maxSlot-M        9       1      17</span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,</span></span>
 <span class="r-in"><span>        addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"minSlot"</span><span class="op">=</span><span class="fl">150</span>,<span class="st">"maxSlot"</span><span class="op">=</span><span class="fl">275</span><span class="op">)</span>,justAdds<span class="op">=</span><span class="cn">TRUE</span>,what<span class="op">=</span><span class="st">"traditional"</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>             Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minSlot       67      52      82</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-maxSlot        9       0      18</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-minSlot       84      74      94</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-maxSlot       14       5      24</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#===== Can show intermediate values (num in category and in stock)</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,showInterm<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Yellow Perch"</span>,showInterm<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         num stock Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q    44   109       40      27      54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P    15   109       14       5      23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M     5   109        5       0      10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q  65   109       60      46      73</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P  29   109       27      15      38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M  10   109        9       1      17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T   5   109        5       0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q    71   147       48      36      59</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P    46   147       31      21      42</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M     7   147        5       0      11</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q  76   147       52      41      64</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P  24   147       16       8      25</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M  38   147       26      16      36</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T   7   147        5       0      11</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Some species require use of group</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span><span class="op">==</span><span class="st">"Brown Trout"</span> <span class="op">&amp;</span> <span class="va">location</span><span class="op">==</span><span class="st">"Trout Lake"</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"location"</span>,<span class="st">"len"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         species   location len</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 201 Brown Trout Trout Lake 128</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 216 Brown Trout Trout Lake 164</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 232 Brown Trout Trout Lake 205</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 248 Brown Trout Trout Lake 261</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 264 Brown Trout Trout Lake 208</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 280 Brown Trout Trout Lake 350</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Some species require use of group (e.g., treat these as if Brown Trout)</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Brown Trout"</span>,group<span class="op">=</span><span class="st">"lotic"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co"># will err because Brown Trout has sub-groups in PSDlit</span></span></span>
+<span class="r-in"><span><span class="co"># psdCalc(~len,data=tmp,species="Brown Trout")</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Brown Trout"</span>,group<span class="op">=</span><span class="st">"lotic"</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         26      13      39</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P          7       0      14</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       74      61      87</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       19       8      30</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M        7       0      14</span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,species<span class="op">=</span><span class="st">"Brown Trout"</span>,group<span class="op">=</span><span class="st">"lentic"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         58      43      72</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P         10       1      19</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       42      28      57</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       48      33      62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M       10       1      19</span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,species<span class="op">=</span><span class="st">"Brown Trout (lotic)"</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         11       2      21</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       89      79      98</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       11       2      21</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         58      43      72</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P         10       1      19</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       42      28      57</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       48      33      62</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M       10       1      19</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#===== For species not in PSDlit ... don't include species and use addLens</span></span></span>
-<span class="r-in"><span><span class="co">#      Note that these are same data as above, but treated as different species</span></span></span>
-<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">yepmm</span>,data<span class="op">=</span><span class="va">yepdf</span>,addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"stock"</span><span class="op">=</span><span class="fl">130</span>,<span class="st">"quality"</span><span class="op">=</span><span class="fl">200</span>,<span class="st">"preferred"</span><span class="op">=</span><span class="fl">250</span>,</span></span>
-<span class="r-in"><span>                                    <span class="st">"memorable"</span><span class="op">=</span><span class="fl">300</span>,<span class="st">"trophy"</span><span class="op">=</span><span class="fl">380</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#      Note these are same data as above, but treated as species not in PSDlit</span></span></span>
+<span class="r-in"><span><span class="fu">psdCalc</span><span class="op">(</span><span class="op">~</span><span class="va">len</span>,data<span class="op">=</span><span class="va">tmp</span>,addLens<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"stock"</span><span class="op">=</span><span class="fl">130</span>,<span class="st">"quality"</span><span class="op">=</span><span class="fl">200</span>,<span class="st">"preferred"</span><span class="op">=</span><span class="fl">250</span>,</span></span>
+<span class="r-in"><span>                                <span class="st">"memorable"</span><span class="op">=</span><span class="fl">300</span>,<span class="st">"trophy"</span><span class="op">=</span><span class="fl">380</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Some category sample size &lt;20, some CI coverage may be lower than 95%.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         Estimate 95% LCI 95% UCI</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         40      27      54</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P         14       5      23</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M          5       0      10</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       60      46      73</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       27      15      38</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M        9       1      17</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T        5       0      10</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-Q         71      56      85</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-P         32      17      47</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD-M          9       0      18</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD S-Q       29      15      44</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD Q-P       38      23      54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD P-M       23      10      36</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> PSD M-T        9       0      18</span>
 <span class="r-in"><span>                                    </span></span>
 </code></pre></div>
     </div>
@@ -315,7 +325,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/psdPlot-1.png b/docs/reference/psdPlot-1.png
index 04767439..3c4a794e 100644
Binary files a/docs/reference/psdPlot-1.png and b/docs/reference/psdPlot-1.png differ
diff --git a/docs/reference/psdPlot-2.png b/docs/reference/psdPlot-2.png
index f3cd2a6a..6dba78cf 100644
Binary files a/docs/reference/psdPlot-2.png and b/docs/reference/psdPlot-2.png differ
diff --git a/docs/reference/psdPlot-3.png b/docs/reference/psdPlot-3.png
index d58640e6..f8f987ed 100644
Binary files a/docs/reference/psdPlot-3.png and b/docs/reference/psdPlot-3.png differ
diff --git a/docs/reference/psdPlot.html b/docs/reference/psdPlot.html
index 7d2527ce..d5252ad2 100644
--- a/docs/reference/psdPlot.html
+++ b/docs/reference/psdPlot.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -234,7 +234,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/psdVal.html b/docs/reference/psdVal.html
index cee4e1e3..4d1d5722 100644
--- a/docs/reference/psdVal.html
+++ b/docs/reference/psdVal.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -55,7 +55,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  addLens <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  addNames <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  incl.zero <span class="op">=</span> <span class="cn">TRUE</span>,</span>
-<span>  showJustSource <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span>  showJustSource <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  dat <span class="op">=</span> <span class="cn">NULL</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -90,6 +91,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dt id="arg-showjustsource">showJustSource<a class="anchor" aria-label="anchor" href="#arg-showjustsource"></a></dt>
 <dd><p>A logical that indicates whether just the literature source information should be returned (<code>TRUE</code>) or not. If <code>TRUE</code> this will NOT return any of the Gabelhouse length information.</p></dd>
 
+
+<dt id="arg-dat">dat<a class="anchor" aria-label="anchor" href="#arg-dat"></a></dt>
+<dd><p>Data.frame of Gabelhouse length categories for all species. Defaults to `PSDlit` and is generally not used by the user (this simplifies use of this function in <code>psdAdd</code>).</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -98,6 +103,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>Finds the Gabelhouse lengths from <code>data(PSDlit)</code> for the species given in <code>species</code>. The species name must be spelled exactly (including capitalization) as it appears in <code>data(PSDlit)</code>. Type <code>psdVal()</code> to see the list of species and how they are spelled.</p>
+<p>Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in <code>species</code> and the sub-group name in <code>group</code> or by using the combined species and sub-group name, with the sub-group name in parentheses, in <code>species</code>. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.#'</p>
 <p>A zero is included in the first position of the returned vector if <code>incl.zero=TRUE</code>. This is useful when computing PSD values with a data.frame that contains fish smaller than the stock length.</p>
 <p>Additional lengths may be added to the returned vector with <code>addLens</code>. Names for these lengths can be included as names in <code>addLens</code> or separately in <code>addNames</code>. If <code>addNames</code> is NULL and <code>addLens</code> is not named then the default category names will be the lengths from <code>addLens</code>. The <code>addLens</code> argument is useful for calculating PSD values that are different from the Gabelhouse lengths.</p>
 <p>See examples and <a href="https://fishr-core-team.github.io/FSA/articles/Computing_PSDs.html">this article</a> for a demonstration.</p>
@@ -128,40 +134,53 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Species name must be one of following. Be careful of spelling and capitalization.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] "Arctic Grayling"           "Bighead Carp"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [3] "Bigmouth Buffalo"          "Black Bullhead"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [5] "Black Carp"                "Black Crappie"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [7] "Blue Catfish"              "Bluegill"                 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [9] "Brook Trout"               "Brown Bullhead"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [11] "Brown Trout"               "Bull Trout"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [13] "Burbot"                    "Chain Pickerel"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [15] "Channel Catfish"           "Chinook Salmon"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [17] "Common Carp"               "Cutthroat Trout"          </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [19] "Flathead Catfish"          "Freshwater Drum"          </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [21] "Gizzard Shad"              "Golden Trout"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [23] "Goldeye"                   "Grass Carp"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [25] "Green Sunfish"             "Kokanee"                  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [27] "Lake Chubsucker"           "Lake Trout"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [29] "Largemouth Bass"           "Longnose Gar"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [31] "Muskellunge"               "Northern Pike"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [33] "Northern Snakehead"        "Paddlefish"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [35] "Pallid Sturgeon"           "Palmetto Bass"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [37] "Pumpkinseed"               "Rainbow Trout"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [39] "Redbreast Sunfish"         "Redear Sunfish"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [41] "River Carpsucker"          "Rock Bass"                </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [43] "Ruffe"                     "Sauger"                   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [45] "Saugeye"                   "Shoal Bass"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [47] "Shorthead Redhorse"        "Silver Carp"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [49] "Smallmouth Bass"           "Smallmouth Buffalo "      </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [51] "Splake"                    "Spotted Bass"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [53] "Spotted Gar"               "Spotted Sunfish"          </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [55] "Striped Bass"              "Striped Bass X White Bass"</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [57] "Suwannee Bass"             "Utah Chub"                </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [59] "Walleye"                   "Warmouth"                 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [61] "White Bass"                "White Catfish"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [63] "White Crappie"             "White Perch"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [65] "White Sucker"              "Yellow Bass"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [67] "Yellow Bullhead"           "Yellow Perch"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] "Alabama Bass"                "Arctic Grayling"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [3] "Bighead Carp"                "Bigmouth Buffalo"           </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [5] "Black Bullhead"              "Black Carp"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [7] "Black Crappie"               "Blue Catfish"               </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [9] "Bluegill"                    "Brook Trout"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [11] "Brook Trout (lentic)"        "Brook Trout (lotic)"        </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [13] "Brook Trout (overall)"       "Brown Bullhead"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [15] "Brown Trout"                 "Brown Trout (lentic)"       </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [17] "Brown Trout (lotic)"         "Bull Trout"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [19] "Burbot"                      "Chain Pickerel"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [21] "Channel Catfish"             "Chinook Salmon"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [23] "Chinook Salmon (landlocked)" "Common Carp"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [25] "Cutthroat Trout"             "Cutthroat Trout (lentic)"   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [27] "Cutthroat Trout (lotic)"     "Flathead Catfish"           </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [29] "Flier"                       "Freshwater Drum"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [31] "Gizzard Shad"                "Golden Trout"               </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [33] "Goldeye"                     "Grass Carp"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [35] "Green Sunfish"               "Kokanee"                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [37] "Lake Chubsucker"             "Lake Trout"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [39] "Largemouth Bass"             "Longear Sunfish"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [41] "Longnose Gar"                "Muskellunge"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [43] "Muskellunge (female)"        "Muskellunge (male)"         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [45] "Muskellunge (overall)"       "Northern Pike"              </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [47] "Northern Pikeminnow"         "Northern Snakehead"         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [49] "Paddlefish"                  "Paddlefish (female)"        </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [51] "Paddlefish (male)"           "Paddlefish (overall)"       </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [53] "Pallid Sturgeon"             "Palmetto Bass"              </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [55] "Palmetto Bass (original)"    "Pumpkinseed"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [57] "Rainbow Trout"               "Rainbow Trout (lentic)"     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [59] "Rainbow Trout (lotic)"       "Redbreast Sunfish"          </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [61] "Redear Sunfish"              "River Carpsucker"           </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [63] "Rock Bass"                   "Ruffe"                      </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [65] "Sauger"                      "Saugeye"                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [67] "Shoal Bass"                  "Shorthead Redhorse"         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [69] "Silver Carp"                 "Smallmouth Bass"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [71] "Smallmouth Buffalo "         "Splake"                     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [73] "Spotted Bass"                "Spotted Bass (original)"    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [75] "Spotted Gar"                 "Spotted Sunfish"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [77] "Striped Bass"                "Striped Bass (landlocked)"  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [79] "Striped Bass X White Bass"   "Suwannee Bass"              </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [81] "Utah Chub"                   "Walleye"                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [83] "Walleye (30-149 mm)"         "Walleye (overall)"          </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [85] "Warmouth"                    "White Bass"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [87] "White Catfish"               "White Crappie"              </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [89] "White Perch"                 "White Sucker"               </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [91] "Yellow Bass"                 "Yellow Bullhead"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [93] "Yellow Perch"               </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#===== Typical usages</span></span></span>
 <span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">)</span></span></span>
@@ -175,19 +194,26 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>         3         6         8        10        12 </span>
 <span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Bluegill"</span>,showJustSource<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    species             source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 8 Bluegill Gabelhouse (1984a)</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 9 Bluegill Gabelhouse (1984a)</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#===== For species that have sub-groups</span></span></span>
+<span class="r-in"><span><span class="co">#-----   using group= argument</span></span></span>
 <span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Brown Trout"</span>,group<span class="op">=</span><span class="st">"lentic"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  substock     stock   quality preferred memorable    trophy </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         0       200       300       400       500       600 </span>
 <span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Brown Trout"</span>,group<span class="op">=</span><span class="st">"lotic"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  substock     stock   quality preferred memorable    trophy </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         0       150       230       300       380       460 </span>
-<span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Palmetto Bass"</span>,group<span class="op">=</span><span class="st">"revised"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#-----   group combined in species name, so no group= use</span></span></span>
+<span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Brown Trout (lentic)"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  substock     stock   quality preferred memorable    trophy </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         0       200       300       400       500       600 </span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== For species with revised values</span></span></span>
+<span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Palmetto Bass"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  substock     stock   quality preferred memorable    trophy </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         0       250       410       510       610       710 </span>
-<span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Palmetto Bass"</span>,group<span class="op">=</span><span class="st">"original"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu">psdVal</span><span class="op">(</span><span class="st">"Palmetto Bass (original)"</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  substock     stock   quality preferred memorable    trophy </span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>         0       200       300       380       510       630 </span>
 <span class="r-in"><span></span></span>
@@ -221,7 +247,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/rSquared.html b/docs/reference/rSquared.html
index f379322f..bee851fe 100644
--- a/docs/reference/rSquared.html
+++ b/docs/reference/rSquared.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -113,7 +113,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/rcumsum.html b/docs/reference/rcumsum.html
index 411b5353..744597e6 100644
--- a/docs/reference/rcumsum.html
+++ b/docs/reference/rcumsum.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -138,24 +138,24 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="va">tbl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/table.html" class="external-link">table</a></span><span class="op">(</span><span class="va">df</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/cumsum.html" class="external-link">cumsum</a></span><span class="op">(</span><span class="va">tbl</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   1   2   3   4   5   6   7   8   9  10 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  10  21  30  43  54  66  75  90  93 100 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  10  22  30  42  54  67  76  91  94 100 </span>
 <span class="r-in"><span><span class="fu">pcumsum</span><span class="op">(</span><span class="va">tbl</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span> df</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>  1  2  3  4  5  6  7  8  9 10 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  0 10 21 30 43 54 66 75 90 93 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  0 10 22 30 42 54 67 76 91 94 </span>
 <span class="r-in"><span><span class="fu">rcumsum</span><span class="op">(</span><span class="va">tbl</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   1   2   3   4   5   6   7   8   9  10 </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 100  90  79  70  57  46  34  25  10   7 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 100  90  78  70  58  46  33  24   9   6 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Example with a data.frame (must be 1-d)</span></span></span>
 <span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/sample.html" class="external-link">sample</a></span><span class="op">(</span><span class="fl">1</span><span class="op">:</span><span class="fl">10</span>,<span class="fl">100</span>,replace<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="va">tbl</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/as.data.frame.html" class="external-link">as.data.frame</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/table.html" class="external-link">table</a></span><span class="op">(</span><span class="va">df</span><span class="op">)</span><span class="op">)</span><span class="op">[</span>,<span class="op">-</span><span class="fl">1</span><span class="op">]</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/cumsum.html" class="external-link">cumsum</a></span><span class="op">(</span><span class="va">tbl</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  11  23  41  50  59  71  77  84  95 100</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  11  23  41  50  58  71  78  84  95 100</span>
 <span class="r-in"><span><span class="fu">pcumsum</span><span class="op">(</span><span class="va">tbl</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  0 11 23 41 50 59 71 77 84 95</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1]  0 11 23 41 50 58 71 78 84 95</span>
 <span class="r-in"><span><span class="fu">rcumsum</span><span class="op">(</span><span class="va">tbl</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 100  89  77  59  50  41  29  23  16   5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [1] 100  89  77  59  50  42  29  22  16   5</span>
 </code></pre></div>
     </div>
   </main><aside class="col-md-3"><nav id="toc" aria-label="Table of contents"><h2>On this page</h2>
@@ -167,7 +167,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/removal.html b/docs/reference/removal.html
index 04b9b844..e9f42fc3 100644
--- a/docs/reference/removal.html
+++ b/docs/reference/removal.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -495,7 +495,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/se.html b/docs/reference/se.html
index 208ccafb..15294a7e 100644
--- a/docs/reference/se.html
+++ b/docs/reference/se.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -113,7 +113,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/srStarts-1.png b/docs/reference/srStarts-1.png
index 5e3cbf85..5c54f16c 100644
Binary files a/docs/reference/srStarts-1.png and b/docs/reference/srStarts-1.png differ
diff --git a/docs/reference/srStarts-2.png b/docs/reference/srStarts-2.png
index 8d33baa9..48bb0714 100644
Binary files a/docs/reference/srStarts-2.png and b/docs/reference/srStarts-2.png differ
diff --git a/docs/reference/srStarts-3.png b/docs/reference/srStarts-3.png
index 0339429c..babdc092 100644
Binary files a/docs/reference/srStarts-3.png and b/docs/reference/srStarts-3.png differ
diff --git a/docs/reference/srStarts-4.png b/docs/reference/srStarts-4.png
index 030f4a9f..ee089f00 100644
Binary files a/docs/reference/srStarts-4.png and b/docs/reference/srStarts-4.png differ
diff --git a/docs/reference/srStarts-5.png b/docs/reference/srStarts-5.png
index 1bbe52d5..1bae4257 100644
Binary files a/docs/reference/srStarts-5.png and b/docs/reference/srStarts-5.png differ
diff --git a/docs/reference/srStarts.html b/docs/reference/srStarts.html
index fc930c1d..e7ae48da 100644
--- a/docs/reference/srStarts.html
+++ b/docs/reference/srStarts.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -291,7 +291,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/sumTable.html b/docs/reference/sumTable.html
index 06e11f8a..9cc78750 100644
--- a/docs/reference/sumTable.html
+++ b/docs/reference/sumTable.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -108,68 +108,68 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>First RHS variable was converted to a factor.</span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Second RHS variable was converted to a factor.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    A  B  C</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> a 60 68 60</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> b 64 69 83</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> c 54 67 59</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> d 68 74 66</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> e 64 78 66</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a 62 55 69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b 68 65 84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> c 57 67 54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d 63 78 66</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> e 61 88 63</span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span><span class="op">*</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">validn</span><span class="op">)</span>       <span class="co"># get sample size (better way)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>First RHS variable was converted to a factor.</span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Second RHS variable was converted to a factor.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>    A  B  C</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> a 60 68 60</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> b 64 69 83</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> c 54 67 59</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> d 68 74 66</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> e 64 78 66</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a 62 55 69</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b 68 65 84</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> c 57 67 54</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d 63 78 66</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> e 61 88 63</span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span><span class="op">*</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">mean</span><span class="op">)</span>         <span class="co"># get mean</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>First RHS variable was converted to a factor.</span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Second RHS variable was converted to a factor.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            A          B          C</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> a  0.2525817  0.0134547 -0.1589797</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> b -0.0262375 -0.1395880 -0.1123626</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> c -0.0091708 -0.0371827  0.0715223</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> d  0.0202485  0.2041489  0.0169284</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> e  0.0266274  0.0350536  0.0689084</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>            A         B          C</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a  0.2910087 0.1674836 -0.0731034</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b -0.0287495 0.0354224 -0.1358372</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> c  0.1262910 0.0170203  0.2995936</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d  0.2032591 0.0163061  0.0870154</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> e -0.0653708 0.0233534 -0.0518361</span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span><span class="op">*</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">sd</span><span class="op">)</span>           <span class="co"># get sd</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>First RHS variable was converted to a factor.</span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Second RHS variable was converted to a factor.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>          A         B        C</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> a 1.024240 0.9073585 1.009596</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> b 1.083239 0.9321550 1.053286</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> c 0.979754 0.9532417 1.070726</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> d 1.135744 0.9107104 1.003334</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> e 0.993716 1.0527984 1.099273</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           A         B         C</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a 1.1262650 1.1067392 0.9426601</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b 1.0252977 0.8832424 0.9896261</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> c 1.1205151 1.0548632 0.9713865</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d 1.0249855 1.0848472 0.9624156</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> e 0.9710473 0.8696885 1.1328340</span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span><span class="op">*</span><span class="va">g2</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">sd</span>,digits<span class="op">=</span><span class="fl">1</span><span class="op">)</span>  <span class="co"># show digits= argument</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>First RHS variable was converted to a factor.</span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>Second RHS variable was converted to a factor.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     A   B   C</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> a 1.0 0.9 1.0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> b 1.1 0.9 1.1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> c 1.0 1.0 1.1</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> d 1.1 0.9 1.0</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> e 1.0 1.1 1.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> a 1.1 1.1 0.9</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> b 1.0 0.9 1.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> c 1.1 1.1 1.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> d 1.0 1.1 1.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> e 1.0 0.9 1.1</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Also demonstrate use in the 1-way example -- but see Summarize()</span></span></span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">validn</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>RHS variable was converted to a factor.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   a   b   c   d   e </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 188 216 180 208 208 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 186 217 178 207 212 </span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">mean</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>RHS variable was converted to a factor.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>          a          b          c          d          e </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  0.0347395 -0.0955411  0.0068519  0.0846211  0.0432033 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  0.1194086 -0.0509808  0.1377360  0.0957498 -0.0245198 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">## Example with a missing value (compare to above)</span></span></span>
 <span class="r-in"><span><span class="va">d</span><span class="op">$</span><span class="va">dat</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NA</span></span></span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">validn</span><span class="op">)</span>  <span class="co"># note use of validn</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>RHS variable was converted to a factor.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>   a   b   c   d   e </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 188 216 179 208 208 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 185 217 178 207 212 </span>
 <span class="r-in"><span><span class="fu">sumTable</span><span class="op">(</span><span class="va">dat</span><span class="op">~</span><span class="va">g1</span>,data<span class="op">=</span><span class="va">d</span>,FUN<span class="op">=</span><span class="va">mean</span>,na.rm<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-wrn co"><span class="r-pr">#&gt;</span> <span class="warning">Warning: </span>RHS variable was converted to a factor.</span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>          a          b          c          d          e </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  0.0347395 -0.0955411  0.0178209  0.0846211  0.0432033 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  0.1261297 -0.0509808  0.1377360  0.0957498 -0.0245198 </span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -182,7 +182,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/tictactoe-1.png b/docs/reference/tictactoe-1.png
index 59e36ea1..5e2caab9 100644
Binary files a/docs/reference/tictactoe-1.png and b/docs/reference/tictactoe-1.png differ
diff --git a/docs/reference/tictactoe-2.png b/docs/reference/tictactoe-2.png
index ea16e75b..69c25f79 100644
Binary files a/docs/reference/tictactoe-2.png and b/docs/reference/tictactoe-2.png differ
diff --git a/docs/reference/tictactoe.html b/docs/reference/tictactoe.html
index 33577283..8ec4c280 100644
--- a/docs/reference/tictactoe.html
+++ b/docs/reference/tictactoe.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -43,7 +43,7 @@
     </div>
 
     <div class="ref-description section level2">
-    <p>Construct a base tic-tac-toe plot for presenting predator-prey PSD values. Predator-prey PSD values are added with <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></code> from <span class="pkg">plotrix</span>.</p>
+    <p>Construct a base tic-tac-toe plot for presenting predator-prey PSD values. Predator-prey PSD values are added with <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></code> from <span class="pkg">plotrix</span>.</p>
     </div>
 
     <div class="section level2">
@@ -107,7 +107,7 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     </div>
     <div class="section level2">
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
-    <p>This function simply creates a base tic-tac-toe plot. Observed values, with confidence intervals, are added to this plot with <code><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></code> from <span class="pkg">plotrix</span>; see examples.</p>
+    <p>This function simply creates a base tic-tac-toe plot. Observed values, with confidence intervals, are added to this plot with <code><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></code> from <span class="pkg">plotrix</span>; see examples.</p>
     </div>
     <div class="section level2">
     <h2 id="ifar-chapter">IFAR Chapter<a class="anchor" aria-label="anchor" href="#ifar-chapter"></a></h2>
@@ -140,9 +140,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span>     24.5     10.2     36.7 </span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu">tictactoe</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="https://github.com/dmurdoch/plotrix" class="external-link">plotrix</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
-<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">prey</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">prey</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"x"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
-<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">pred</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">pred</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"y"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span> </span></span>
+<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="https://plotrix.github.io/plotrix/" class="external-link">plotrix</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">prey</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">prey</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"x"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span><span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">pred</span><span class="op">[</span><span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">pred</span><span class="op">[</span><span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"y"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span> </span></span>
 <span class="r-in"><span><span class="op">}</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Loading required package: plotrix</span>
 <span class="r-plt img"><img src="tictactoe-1.png" alt="" width="700" height="433"></span>
@@ -167,9 +167,9 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-out co"><span class="r-pr">#&gt;</span> [3,]     16.3     8.2    24.4</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="fu">tictactoe</span><span class="op">(</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="https://github.com/dmurdoch/plotrix" class="external-link">plotrix</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
-<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"x"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
-<span class="r-in"><span>  <span class="fu"><a href="https://rdrr.io/pkg/plotrix/man/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">pred</span><span class="op">[</span>,<span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">pred</span><span class="op">[</span>,<span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"y"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="https://plotrix.github.io/plotrix/" class="external-link">plotrix</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"x"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="https://plotrix.github.io/plotrix/reference/plotCI.html" class="external-link">plotCI</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,li<span class="op">=</span><span class="va">pred</span><span class="op">[</span>,<span class="fl">2</span><span class="op">]</span>,ui<span class="op">=</span><span class="va">pred</span><span class="op">[</span>,<span class="fl">3</span><span class="op">]</span>,err<span class="op">=</span><span class="st">"y"</span>,pch<span class="op">=</span><span class="fl">16</span>,add<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">}</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/lines.html" class="external-link">lines</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/graphics/text.html" class="external-link">text</a></span><span class="op">(</span><span class="va">prey</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,<span class="va">pred</span><span class="op">[</span>,<span class="fl">1</span><span class="op">]</span>,labels<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="fl">2010</span>,<span class="fl">2011</span>,<span class="fl">2012</span><span class="op">)</span>,adj<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="op">-</span><span class="fl">0.5</span>,<span class="op">-</span><span class="fl">0.5</span><span class="op">)</span><span class="op">)</span></span></span>
@@ -186,7 +186,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/validn.html b/docs/reference/validn.html
index d028d8c5..17eb9abc 100644
--- a/docs/reference/validn.html
+++ b/docs/reference/validn.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -69,7 +69,7 @@ <h2 id="ifar-chapter">IFAR Chapter<a class="anchor" aria-label="anchor" href="#i
     </div>
     <div class="section level2">
     <h2 id="see-also">See also<a class="anchor" aria-label="anchor" href="#see-also"></a></h2>
-    <div class="dont-index"><p>See <code><a href="https://rdrr.io/pkg/plotrix/man/valid.n.html" class="external-link">valid.n</a></code> in <span class="pkg">plotrix</span> and <code>nobs</code> in <span class="pkg">gdata</span> for similar functionality. See <code><a href="https://rdrr.io/r/base/NA.html" class="external-link">is.na</a></code> for finding the missing values.</p></div>
+    <div class="dont-index"><p>See <code><a href="https://plotrix.github.io/plotrix/reference/valid.n.html" class="external-link">valid.n</a></code> in <span class="pkg">plotrix</span> and <code>nobs</code> in <span class="pkg">gdata</span> for similar functionality. See <code><a href="https://rdrr.io/r/base/NA.html" class="external-link">is.na</a></code> for finding the missing values.</p></div>
     </div>
     <div class="section level2">
     <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a></h2>
@@ -109,7 +109,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/vbStarts-1.png b/docs/reference/vbStarts-1.png
index f2483770..3300f3ca 100644
Binary files a/docs/reference/vbStarts-1.png and b/docs/reference/vbStarts-1.png differ
diff --git a/docs/reference/vbStarts-2.png b/docs/reference/vbStarts-2.png
index 44ffc526..57e74353 100644
Binary files a/docs/reference/vbStarts-2.png and b/docs/reference/vbStarts-2.png differ
diff --git a/docs/reference/vbStarts-3.png b/docs/reference/vbStarts-3.png
index 6eb4f541..8ac393e4 100644
Binary files a/docs/reference/vbStarts-3.png and b/docs/reference/vbStarts-3.png differ
diff --git a/docs/reference/vbStarts-4.png b/docs/reference/vbStarts-4.png
index f6f130d0..da7d5619 100644
Binary files a/docs/reference/vbStarts-4.png and b/docs/reference/vbStarts-4.png differ
diff --git a/docs/reference/vbStarts-5.png b/docs/reference/vbStarts-5.png
index e72e8b3f..b9549983 100644
Binary files a/docs/reference/vbStarts-5.png and b/docs/reference/vbStarts-5.png differ
diff --git a/docs/reference/vbStarts.html b/docs/reference/vbStarts.html
index 2368c9e0..a09c8af9 100644
--- a/docs/reference/vbStarts.html
+++ b/docs/reference/vbStarts.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -427,7 +427,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/wrAdd.html b/docs/reference/wrAdd.html
index 2623f591..98ef1a86 100644
--- a/docs/reference/wrAdd.html
+++ b/docs/reference/wrAdd.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -51,10 +51,18 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
     <div class="sourceCode"><pre class="sourceCode r"><code><span><span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span>, <span class="va">...</span><span class="op">)</span></span>
 <span></span>
 <span><span class="co"># Default S3 method</span></span>
-<span><span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span>, <span class="va">len</span>, <span class="va">spec</span>, units <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"metric"</span>, <span class="st">"English"</span><span class="op">)</span>, WsOpts <span class="op">=</span> <span class="cn">NULL</span>, <span class="va">...</span><span class="op">)</span></span>
+<span><span class="fu">wrAdd</span><span class="op">(</span></span>
+<span>  <span class="va">wt</span>,</span>
+<span>  <span class="va">len</span>,</span>
+<span>  <span class="va">spec</span>,</span>
+<span>  thesaurus <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  units <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"metric"</span>, <span class="st">"English"</span><span class="op">)</span>,</span>
+<span>  WsOpts <span class="op">=</span> <span class="cn">NULL</span>,</span>
+<span>  <span class="va">...</span></span>
+<span><span class="op">)</span></span>
 <span></span>
 <span><span class="co"># S3 method for class 'formula'</span></span>
-<span><span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span>, <span class="va">data</span>, units <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"metric"</span>, <span class="st">"English"</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
+<span><span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span>, <span class="va">data</span>, thesaurus <span class="op">=</span> <span class="cn">NULL</span>, units <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"metric"</span>, <span class="st">"English"</span><span class="op">)</span>, <span class="va">...</span><span class="op">)</span></span></code></pre></div>
     </div>
 
     <div class="section level2">
@@ -77,6 +85,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dd><p>A character or factor vector that contains the species names. Not used if <code>wt</code> is a formula.</p></dd>
 
 
+<dt id="arg-thesaurus">thesaurus<a class="anchor" aria-label="anchor" href="#arg-thesaurus"></a></dt>
+<dd><p>A named list for providing alternative species names (the values in the list) that correspond to specific names in <code>PSDlit</code> (the names in the list). See details and examples.</p></dd>
+
+
 <dt id="arg-units">units<a class="anchor" aria-label="anchor" href="#arg-units"></a></dt>
 <dd><p>A string that indicates whether the weight and length data in <code>formula</code> are in <code>"metric"</code> (DEFAULT; mm and g) or <code>"English"</code> (in and lbs) units.</p></dd>
 
@@ -97,6 +109,8 @@ <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2
     <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></a></h2>
     <p>This computes a vector that contains the relative weight specific to each species for all individuals in an entire data frame. The vector can be appended to an existing data.frame to create a variable that contains the relative weights for each individual. The relative weight value will be <code>NA</code> for each individual for which a standard weight equation does not exist in <code><a href="WSlit.html">WSlit</a></code>, a standard weight equation for the units given in <code>units=</code> does not exist in <code><a href="WSlit.html">WSlit</a></code>, or if the individual is shorter or longer than the lengths for which the standard weight equation should be applied. Either the linear or quadratic equation has been listed as preferred for each species, so only that equation will be used.</p>
 <p>The species names in <code>species</code> must match the spelling and capitalization of <code>species</code> in <code><a href="WSlit.html">WSlit</a></code>. Use <code><a href="wsVal.html">wsVal()</a></code> to see a list of all species for which standard weight equations exist in <code><a href="WSlit.html">WSlit</a></code> and, more importantly, how the species names are spelled and capitalized.</p>
+<p>The <code>thesaurus</code> argument may be used to relate alternate species names to the species names used in <code>WSlit</code>. For example, you (or your data) may use “Bluegill Sunfish”, but “Bluegill” is used in <code>WSlit</code>. The alternate species name can be used here if it is defined in a named vector (or list) given to <code>thesarus=</code>. The alternate species name is the value and the species name in <code>PSDlit</code> is the name in this vector/list - e.g., <code>c("Bluegill"="Bluegill Sunfish")</code>. See the examples for a demonstration.</p>
+<p>Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in <code>species</code> and the sub-group name in <code>group</code> in <code>WsOpts</code> or by using the combined species and sub-group name, with the sub-group name in parentheses, in <code>species</code>. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.</p>
 <p>Some (few) species have more than one equation listed in <code><a href="WSlit.html">WSlit</a></code> (for the specified units). In these instances the user must select one of the equations to use with <code>WsOpts</code>. <code>WsOpts</code> is a list of lists where the inside list contains one or more of <code>group</code>, <code>ref</code>, or <code>method</code> (see <code><a href="WSlit.html">WSlit</a></code>) required to specify a single equation for a particular species, which is the name of the inner list. See the examples for an illustration of how to use <code>WsOpts</code>.</p>
 <p>See examples and <a href="https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html">this article</a> for a demonstration.</p>
     </div>
@@ -119,108 +133,150 @@ <h2 id="author">Author<a class="anchor" aria-label="anchor" href="#author"></a><
 
     <div class="section level2">
     <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-examples"></a></h2>
-    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">#===== Create random data for three species</span></span></span>
-<span class="r-in"><span><span class="co">#----- just to control the randomization</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/base/Random.html" class="external-link">set.seed</a></span><span class="op">(</span><span class="fl">345234534</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dbt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluefin Tuna"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">1900</span>,<span class="fl">300</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dbt</span><span class="op">$</span><span class="va">wt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fl">4.5e-05</span><span class="op">*</span><span class="va">dbt</span><span class="op">$</span><span class="va">tl</span><span class="op">^</span><span class="fl">2.8</span><span class="op">+</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">0</span>,<span class="fl">6000</span><span class="op">)</span>,<span class="fl">1</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dbg</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">130</span>,<span class="fl">50</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dbg</span><span class="op">$</span><span class="va">wt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fl">4.23e-06</span><span class="op">*</span><span class="va">dbg</span><span class="op">$</span><span class="va">tl</span><span class="op">^</span><span class="fl">3.316</span><span class="op">+</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">0</span>,<span class="fl">10</span><span class="op">)</span>,<span class="fl">1</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dlb</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Largemouth Bass"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">350</span>,<span class="fl">60</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">dlb</span><span class="op">$</span><span class="va">wt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fl">2.96e-06</span><span class="op">*</span><span class="va">dlb</span><span class="op">$</span><span class="va">tl</span><span class="op">^</span><span class="fl">3.273</span><span class="op">+</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">0</span>,<span class="fl">60</span><span class="op">)</span>,<span class="fl">1</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">df</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/cbind.html" class="external-link">rbind</a></span><span class="op">(</span><span class="va">dbt</span>,<span class="va">dbg</span>,<span class="va">dlb</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">df</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	90 obs. of  3 variables:</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ species: Factor w/ 3 levels "Bluefin Tuna",..: 1 1 1 1 1 1 1 1 1 1 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ tl     : num  1371 1558 2031 2226 2124 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ wt     : num  19231 38147 90530 104718 88761 ...</span>
-<span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Add Wr variable</span></span></span>
-<span class="r-in"><span><span class="co">#----- using formula interface</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">Wr1</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">tl</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">df</span><span class="op">)</span></span></span>
+    <div class="sourceCode"><pre class="sourceCode r"><code><span class="r-in"><span><span class="co">#===== Simple example with 3 species, 2 in WSlit ... nothing unusual</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,</span></span>
+<span class="r-in"><span>              <span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span>,<span class="st">"Iowa Darter"</span>,<span class="st">"Largemouth Bass"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len    wt</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 380      Iowa Darter  53   1.1</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 411      Iowa Darter  61   0.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 444  Largemouth Bass 272 191.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 476  Largemouth Bass 285 218.3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 854     Yellow Perch 104  12.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 886     Yellow Perch 144  42.7</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 919     Yellow Perch 126  22.0</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 951     Yellow Perch 260 269.5</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 984     Yellow Perch 236    NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322 520.0</span>
 <span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#----- Add Wr variable ... using formula interface</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr1</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co">#----- same but with non-formula interface</span></span></span>
-<span class="r-in"><span><span class="va">df</span><span class="op">$</span><span class="va">Wr2</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">df</span><span class="op">$</span><span class="va">wt</span>,<span class="va">df</span><span class="op">$</span><span class="va">tl</span>,<span class="va">df</span><span class="op">$</span><span class="va">species</span><span class="op">)</span></span></span>
-<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr2</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">tmp</span><span class="op">$</span><span class="va">wt</span>,<span class="va">tmp</span><span class="op">$</span><span class="va">len</span>,<span class="va">tmp</span><span class="op">$</span><span class="va">species</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="co">#----- same but using dplyr</span></span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
-<span class="r-in"><span>  <span class="va">df</span> <span class="op">&lt;-</span> <span class="va">df</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
-<span class="r-in"><span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>Wr3<span class="op">=</span><span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span>,<span class="va">tl</span>,<span class="va">species</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">tmp</span> <span class="op">&lt;-</span> <span class="va">tmp</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>wr3<span class="op">=</span><span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span>,<span class="va">len</span>,<span class="va">species</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">}</span></span></span>
-<span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- examine results</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">df</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species   tl       wt       Wr1       Wr2       Wr3</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1     Bluefin Tuna 1371  19231.0        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10    Bluefin Tuna 2060  84458.4        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20    Bluefin Tuna 2545 142705.1        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30    Bluefin Tuna 1889  59611.6        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40        Bluegill   52     -5.8        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50        Bluegill  122     36.7 104.78446 104.78446 104.78446</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60        Bluegill   72     19.0        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 70 Largemouth Bass  396    900.0  95.49622  95.49622  95.49622</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 80 Largemouth Bass  328    553.9 108.88706 108.88706 108.88706</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 90 Largemouth Bass  371    612.6  80.46670  80.46670  80.46670</span>
-<span class="r-in"><span> </span></span>
-<span class="r-in"><span><span class="co">#===== Example with only one species in the data.frame</span></span></span>
-<span class="r-in"><span><span class="va">bg</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/droplevels.html" class="external-link">droplevels</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">df</span>,<span class="va">species</span><span class="op">==</span><span class="st">"Bluegill"</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">bg</span><span class="op">$</span><span class="va">Wr4</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">tl</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">bg</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">bg</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     species  tl    wt       Wr1       Wr2       Wr3       Wr4</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 31 Bluegill 158  75.3  91.21118  91.21118  91.21118  91.21118</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 32 Bluegill 157  80.3  99.33729  99.33729  99.33729  99.33729</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 33 Bluegill 126  26.0  66.70289  66.70289  66.70289  66.70289</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 34 Bluegill 203 196.2 103.52426 103.52426 103.52426 103.52426</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 35 Bluegill 136  59.9 119.29213 119.29213 119.29213 119.29213</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 36 Bluegill 192 159.4 101.17226 101.17226 101.17226 101.17226</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 37 Bluegill 132  54.9 120.71165 120.71165 120.71165 120.71165</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 38 Bluegill 121  30.7  90.07870  90.07870  90.07870  90.07870</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 39 Bluegill 136  42.4  84.44051  84.44051  84.44051  84.44051</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40 Bluegill  52  -5.8        NA        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 41 Bluegill 111  17.5  68.35134  68.35134  68.35134  68.35134</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 42 Bluegill 226 267.8  98.98901  98.98901  98.98901  98.98901</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 43 Bluegill 217 238.2 100.74912 100.74912 100.74912 100.74912</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 44 Bluegill 163  86.9  94.93048  94.93048  94.93048  94.93048</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 45 Bluegill 119  18.3  56.74628  56.74628  56.74628  56.74628</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 46 Bluegill  79  17.9        NA        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 47 Bluegill  78   3.5        NA        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 48 Bluegill 172 113.9 104.11454 104.11454 104.11454 104.11454</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 49 Bluegill 106  28.0 127.42181 127.42181 127.42181 127.42181</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 50 Bluegill 122  36.7 104.78446 104.78446 104.78446 104.78446</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 51 Bluegill  95  14.1  92.27576  92.27576  92.27576  92.27576</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 52 Bluegill  47  -3.3        NA        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 53 Bluegill 155  72.8  93.97048  93.97048  93.97048  93.97048</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 54 Bluegill 167 101.5 102.31474 102.31474 102.31474 102.31474</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55 Bluegill 146  65.1 102.46768 102.46768 102.46768 102.46768</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 56 Bluegill 125  54.5 143.56312 143.56312 143.56312 143.56312</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 Bluegill  66  -7.1        NA        NA        NA        NA</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 58 Bluegill 160  92.1 107.00345 107.00345 107.00345 107.00345</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 59 Bluegill  85   1.7  16.08777  16.08777  16.08777  16.08777</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60 Bluegill  72  19.0        NA        NA        NA        NA</span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>              species len    wt       wr1       wr2       wr3</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 380      Iowa Darter  53   1.1        NA        NA        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 411      Iowa Darter  61   0.5        NA        NA        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 444  Largemouth Bass 272 191.7  69.54695  69.54695  69.54695</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 476  Largemouth Bass 285 218.3  67.97458  67.97458  67.97458</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 854     Yellow Perch 104  12.5  92.87361  92.87361  92.87361</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 886     Yellow Perch 144  42.7 110.89629 110.89629 110.89629</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 919     Yellow Perch 126  22.0  87.94797  87.94797  87.94797</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 951     Yellow Perch 260 269.5 103.79940 103.79940 103.79940</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 984     Yellow Perch 236    NA        NA        NA        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016    Yellow Perch 322 520.0 100.37577 100.37577 100.37577</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Simple example with only one species in the data.frame</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           species len    wt        wr</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 847  Yellow Perch 140  37.5 106.66887</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 880  Yellow Perch 146  42.8 106.31243</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 914  Yellow Perch 186 101.2 114.98831</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 948  Yellow Perch 203 122.5 104.93585</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 982  Yellow Perch 215 125.6  89.37446</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016 Yellow Perch 322 520.0 100.37577</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Example of species with sub-groups but only 1 sub-group in data.frame</span></span></span>
+<span class="r-in"><span><span class="co">#-----   Group not in species name so must specify group with WsOpts</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span><span class="op">==</span><span class="st">"Brown Trout"</span> <span class="op">&amp;</span> <span class="va">location</span><span class="op">==</span><span class="st">"Trout Lake"</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr1</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                 WsOpts<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"Brown Trout"</span><span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span><span class="st">"group"</span><span class="op">=</span><span class="st">"lotic"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#-----   Group in species name so don't specify group with WsOpts</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">species2</span> <span class="op">&lt;-</span> <span class="st">"Brown Trout (lotic)"</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr2</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species2</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span>  <span class="co"># note use of species2</span></span></span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         species len    wt       wr1            species2       wr2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 201 Brown Trout 128  25.0        NA Brown Trout (lotic)        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 216 Brown Trout 164  44.1  90.26114 Brown Trout (lotic)  90.26114</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 232 Brown Trout 205  91.1  96.32232 Brown Trout (lotic)  96.32232</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 248 Brown Trout 261 196.3 101.54637 Brown Trout (lotic) 101.54637</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 264 Brown Trout 208 106.5 107.86539 Brown Trout (lotic) 107.86539</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 280 Brown Trout 350 345.2  74.92545 Brown Trout (lotic)  74.92545</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Example of species with sub-groups and 2 sub-groups in data.frame</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span><span class="op">==</span><span class="st">"Brown Trout"</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"location"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#-----   Must create "species" with sub-groups in name</span></span></span>
+<span class="r-in"><span><span class="co">#-----     Many ways to do this, this is just one example for this case</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">species2</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">tmp</span><span class="op">$</span><span class="va">location</span><span class="op">==</span><span class="st">"Trout Lake"</span>,</span></span>
+<span class="r-in"><span>                       <span class="st">"Brown Trout (lotic)"</span>,<span class="st">"Brown Trout (lentic)"</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species2</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span>  <span class="co"># note use of species2</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         species     location len    wt             species2        wr</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 201 Brown Trout   Trout Lake 128  25.0  Brown Trout (lotic)        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 236 Brown Trout   Trout Lake 218 119.4  Brown Trout (lotic) 105.23813</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 272 Brown Trout   Trout Lake 290 277.4  Brown Trout (lotic) 105.05298</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 307 Brown Trout Brushy Creek 298 175.9 Brown Trout (lentic)  58.15929</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 343 Brown Trout Brushy Creek 311    NA Brown Trout (lentic)        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 379 Brown Trout Brushy Creek 420 390.1 Brown Trout (lentic)  43.10401</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Example of a species name that needs the thesaurus</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Yellow Perch"</span>,<span class="st">"Bluegill Sunfish"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#-----  Below will not add wr for "Bluegill Sunfish" as not in WsLit ("Bluegill" is)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr1</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#-----  Use thesaurus to identify "Bluegill Sunfish" as "Blueill</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr2</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,thesaurus<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">=</span><span class="st">"Bluegill Sunfish"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>               species len    wt       wr1       wr2</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1    Bluegill Sunfish 107  25.8        NA 113.81070</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 32   Bluegill Sunfish 135  35.1        NA  71.63419</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 64   Bluegill Sunfish 156  81.7        NA 103.23356</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 97   Bluegill Sunfish 233 332.7        NA 111.14772</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 855      Yellow Perch 127  23.7  92.35541  92.35541</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 887      Yellow Perch 153  46.0  98.22104  98.22104</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 919      Yellow Perch 126  22.0  87.94797  87.94797</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 952      Yellow Perch 247 260.4 118.36678 118.36678</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 984      Yellow Perch 236    NA        NA        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016     Yellow Perch 322 520.0 100.37577 100.37577</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Example of species that has Ws eqns for multiple reference values</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span><span class="op">==</span><span class="st">"Ruffe"</span>,select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#-----  Below will err as Ruffe has Ws eqns for multiple reference values</span></span></span>
+<span class="r-in"><span><span class="co"># tmp$wr &lt;- wrAdd(wt~len+species,data=tmp)</span></span></span>
+<span class="r-in"><span><span class="co">#-----  Must choose which eqn to use with WsOpts</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                WsOpts<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>Ruffe<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>ref<span class="op">=</span><span class="fl">75</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>     species len   wt       wr</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 647   Ruffe  95  9.4 89.03770</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 654   Ruffe  26  0.1       NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 662   Ruffe  96  9.3 85.34309</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 670   Ruffe 105 11.7 81.67358</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 678   Ruffe 173 50.3 70.77283</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 686   Ruffe 152 36.1 77.90516</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Example with a species that has Ws eqns for multiple groups and a</span></span></span>
-<span class="r-in"><span><span class="co">#      group needs to be specified with WsOpts</span></span></span>
-<span class="r-in"><span><span class="va">wae</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/data.frame.html" class="external-link">data.frame</a></span><span class="op">(</span>species<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/factor.html" class="external-link">factor</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/rep.html" class="external-link">rep</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Walleye"</span><span class="op">)</span>,<span class="fl">30</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>                  tl<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">500</span>,<span class="fl">200</span><span class="op">)</span>,<span class="fl">0</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">wae</span><span class="op">$</span><span class="va">wt</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/Round.html" class="external-link">round</a></span><span class="op">(</span><span class="fl">3.33e-06</span><span class="op">*</span><span class="va">wae</span><span class="op">$</span><span class="va">tl</span><span class="op">^</span><span class="fl">3.16</span><span class="op">+</span><span class="fu"><a href="https://rdrr.io/r/stats/Normal.html" class="external-link">rnorm</a></span><span class="op">(</span><span class="fl">30</span>,<span class="fl">0</span>,<span class="fl">50</span><span class="op">)</span>,<span class="fl">1</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="co"># wae$Wr &lt;- wrAdd(wt~tl+species,data=wae) # will err b/c multiple groups</span></span></span>
-<span class="r-in"><span><span class="va">wae</span><span class="op">$</span><span class="va">Wr</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">tl</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">wae</span>,</span></span>
-<span class="r-in"><span>                WsOpts<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>Walleye<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>group<span class="op">=</span><span class="st">"overall"</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">wae</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>    species  tl     wt        Wr</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1  Walleye 791 4768.4  82.25673</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 3  Walleye 300  271.9 102.36786</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 7  Walleye 659 2719.5  83.83656</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 10 Walleye 493 1066.4  82.73074</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 13 Walleye 505 1151.5  82.75559</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 17 Walleye 676 2794.8  79.45482</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20 Walleye 754 4131.0  82.98781</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 23 Walleye 500 1067.4  79.17765</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 27 Walleye 544 1431.0  81.17740</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 30 Walleye 490 1117.6  88.40216</span>
+<span class="r-in"><span><span class="co">#===== Example with two uses of WsOpts (and one species without)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span> <span class="op"><a href="https://rdrr.io/r/base/match.html" class="external-link">%in%</a></span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"Ruffe"</span>,<span class="st">"Muskellunge"</span>,<span class="st">"Iowa Darter"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>              select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="va">tmp</span><span class="op">$</span><span class="va">wr</span> <span class="op">&lt;-</span> <span class="fu">wrAdd</span><span class="op">(</span><span class="va">wt</span><span class="op">~</span><span class="va">len</span><span class="op">+</span><span class="va">species</span>,data<span class="op">=</span><span class="va">tmp</span>,</span></span>
+<span class="r-in"><span>                WsOpts<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>Muskellunge<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>group<span class="op">=</span><span class="st">"overall"</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>                            Ruffe<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/list.html" class="external-link">list</a></span><span class="op">(</span>ref<span class="op">=</span><span class="fl">75</span><span class="op">)</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">tmp</span>,n<span class="op">=</span><span class="fl">10</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>         species len     wt        wr</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 380 Iowa Darter  53    1.1        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 392 Iowa Darter  41    0.5        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 405 Iowa Darter  51    0.6        NA</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 608 Muskellunge 589 1615.3 115.77635</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 621 Muskellunge 758 4211.3 130.47163</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 634 Muskellunge 922 6860.5 110.82187</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 647       Ruffe  95    9.4  89.03770</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 660       Ruffe 136   30.4  94.08566</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 673       Ruffe 122   20.0  87.47541</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 686       Ruffe 152   36.1  77.90516</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -233,7 +289,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/reference/wsVal.html b/docs/reference/wsVal.html
index f2778782..1e30b7c5 100644
--- a/docs/reference/wsVal.html
+++ b/docs/reference/wsVal.html
@@ -7,7 +7,7 @@
 
     <a class="navbar-brand me-2" href="../index.html">FSA</a>
 
-    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.0</small>
+    <small class="nav-text text-muted me-auto" data-bs-toggle="tooltip" data-bs-placement="bottom" title="Released version">0.10.1</small>
 
 
     <button class="navbar-toggler" type="button" data-bs-toggle="collapse" data-bs-target="#navbar" aria-controls="navbar" aria-expanded="false" aria-label="Toggle navigation">
@@ -54,7 +54,8 @@ <h2 id="ref-usage">Usage<a class="anchor" aria-label="anchor" href="#ref-usage">
 <span>  units <span class="op">=</span> <span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"metric"</span>, <span class="st">"English"</span><span class="op">)</span>,</span>
 <span>  ref <span class="op">=</span> <span class="cn">NULL</span>,</span>
 <span>  method <span class="op">=</span> <span class="cn">NULL</span>,</span>
-<span>  simplify <span class="op">=</span> <span class="cn">FALSE</span></span>
+<span>  simplify <span class="op">=</span> <span class="cn">FALSE</span>,</span>
+<span>  dat <span class="op">=</span> <span class="cn">NULL</span></span>
 <span><span class="op">)</span></span></code></pre></div>
     </div>
 
@@ -85,6 +86,10 @@ <h2 id="arguments">Arguments<a class="anchor" aria-label="anchor" href="#argumen
 <dt id="arg-simplify">simplify<a class="anchor" aria-label="anchor" href="#arg-simplify"></a></dt>
 <dd><p>A logical that indicates whether the ‘units’, ‘ref’, ‘measure’, ‘method’, ‘comments’, and ‘source’ fields should be included (<code>=FALSE</code>) or not (<code>=TRUE</code>; DEFAULT). See details.</p></dd>
 
+
+<dt id="arg-dat">dat<a class="anchor" aria-label="anchor" href="#arg-dat"></a></dt>
+<dd><p>Data.frame of Gabelhouse length categories for all species. Defaults to `WSlit` and is generally not used by the user (this simplifies use of this function in <code>wrAdd</code>).</p></dd>
+
 </dl></div>
     <div class="section level2">
     <h2 id="value">Value<a class="anchor" aria-label="anchor" href="#value"></a></h2>
@@ -97,6 +102,7 @@ <h2 id="details">Details<a class="anchor" aria-label="anchor" href="#details"></
 <p>$$log_{10}(Ws) = log_{10}(a) + blog_{10}(L) + blog_{10}(L)^{2}$$</p>
 <p>See <code><a href="WSlit.html">WSlit</a></code> for more information about the meaning of each value returned.</p>
 <p>Note from above that the coefficients are returned for the TRANSFORMED model. Thus, to obtain the standard weight (Ws), the returned coefficients are used to compute the common log of Ws which must then be raised to the power of 10 to compute the Ws.</p>
+<p>Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in <code>species</code> and the sub-group name in <code>group</code> or by using the combined species and sub-group name, with the sub-group name in parentheses, in <code>species</code>. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.</p>
 <p>See examples and <a href="https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html">this article</a> for a demonstration.</p>
     </div>
     <div class="section level2">
@@ -122,144 +128,173 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 <span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="op">)</span></span></span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> </span>
 <span class="r-msg co"><span class="r-pr">#&gt;</span> Species name must be one of following. Be careful of spelling and capitalization.</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   [1] "Aegean Chub"                "African Sharptooth Catfish"</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   [3] "Alabama Bass"               "Ankara Nase"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   [5] "Arctic Grayling"            "Bighead Carp"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   [7] "Bigmouth Buffalo"           "Bigmouth Sleepers"         </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>   [9] "Black Bullhead"             "Black Crappie"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [11] "Blacktail Redhorse"         "Blue Catfish"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [13] "Blue Sucker"                "Bluegill"                  </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [15] "Bridgelip Sucker"           "Brook Chub"                </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [17] "Brook Trout"                "Brown Bullhead"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [19] "Brown Trout"                "Bull Trout"                </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [21] "Burbot"                     "Cavedano Chub"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [23] "Chain Pickerel"             "Channel Catfish"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [25] "Chinook Salmon"             "Cisco"                     </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [27] "Common Carp"                "Cutthroat Trout"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [29] "European Chub"              "European Perch"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [31] "Flannelmouth Sucker"        "Flathead Catfish"          </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [33] "Fourbarbel Scraper"         "Freshwater Drum"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [35] "Gizzard Shad"               "Golden Shiner"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [37] "Golden Trout"               "Goldeye"                   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [39] "Green Sunfish"              "Horse Barbel"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [41] "Humpback Chub"              "Kokanee"                   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [43] "Lake Chubsucker"            "Lake Herring"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [45] "Lake Trout"                 "Largemouth Bass"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [47] "Largescale Sucker"          "Longnose Gar"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [49] "Marble Trout"               "Mountain Mullet"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [51] "Mountain Whitefish"         "Muskellunge"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [53] "Nile Tilapia"               "Nipple-Lip Scraper"        </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [55] "Northern Pike"              "Northern Pikeminnow"       </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [57] "Northern Snakehead"         "Northern Squawfish"        </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [59] "Paddlefish"                 "Palmetto Bass"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [61] "Pejerrey"                   "Pumpkinseed"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [63] "Pursak Chub"                "Rainbow Trout"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [65] "Razorback Sucker"           "Redbreast Sunfish"         </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [67] "Redear Sunfish"             "Riffle Dace"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [69] "River Carpsucker"           "River Goby"                </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [71] "Rock Bass"                  "Roundtail Chub"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [73] "Ruffe"                      "Sardine"                   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [75] "Sauger"                     "Saugeye"                   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [77] "Shoal Bass"                 "Shorthead Redhorse"        </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [79] "Shovelnose Sturgeon"        "Silver Carp"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [81] "Smallmouth Bass"            "Smallmouth Buffalo"        </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [83] "South European Roach"       "Spotted Bass"              </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [85] "Spotted Gar"                "Spotted Sunfish"           </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [87] "Striped Bass"               "Striped Bass X White Bass" </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [89] "Suwannee Bass"              "Tiger Muskellunge"         </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [91] "Utah Chub"                  "Walleye"                   </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [93] "Warmouth"                   "White Bass"                </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [95] "White Catfish"              "White Crappie"             </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [97] "White Perch"                "White Sturgeon"            </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  [99] "White Sucker"               "Yellow Bass"               </span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> [101] "Yellow Bullhead"            "Yellow Perch"              </span>
-<span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Find equations for Bluegill, in different formats</span></span></span>
-<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Bluegill"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     species measure  units ref method min.TL    int slope         source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26 Bluegill      TL metric  75  Other     80 -5.374 3.316 Hillman (1982)</span>
-<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Bluegill"</span>,units<span class="op">=</span><span class="st">"metric"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     species measure  units ref method min.TL    int slope         source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26 Bluegill      TL metric  75  Other     80 -5.374 3.316 Hillman (1982)</span>
-<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Bluegill"</span>,units<span class="op">=</span><span class="st">"English"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     species measure   units ref method min.TL    int slope         source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25 Bluegill      TL English  75  Other      3 -3.371 3.316 Hillman (1982)</span>
-<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Bluegill"</span>,units<span class="op">=</span><span class="st">"English"</span>,simplify<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     species min.TL    int slope</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 25 Bluegill      3 -3.371 3.316</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   [1] "Aegean Chub"                    "African Sharptooth Catfish"    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   [3] "Alabama Bass"                   "Alabama Bass (original)"       </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   [5] "Ankara Nase"                    "Arctic Grayling"               </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   [7] "Bighead Carp"                   "Bigmouth Buffalo"              </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>   [9] "Bigmouth Sleepers"              "Bigmouth Sleepers (lotic)"     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [11] "Bigmouth Sleepers (overall)"    "Black Bullhead"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [13] "Black Crappie"                  "Blacktail Redhorse"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [15] "Blue Catfish"                   "Blue Sucker"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [17] "Bluegill"                       "Bridgelip Sucker"              </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [19] "Brook Chub"                     "Brook Trout"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [21] "Brook Trout (Appalachia)"       "Brook Trout (lentic)"          </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [23] "Brook Trout (lotic)"            "Brook Trout (overall)"         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [25] "Brown Bullhead"                 "Brown Trout"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [27] "Brown Trout (lentic)"           "Brown Trout (lotic)"           </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [29] "Bull Trout"                     "Burbot"                        </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [31] "Cavedano Chub"                  "Chain Pickerel"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [33] "Channel Catfish"                "Chinook Salmon"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [35] "Chinook Salmon (landlocked)"    "Cisco"                         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [37] "Common Carp"                    "Cutthroat Trout"               </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [39] "Cutthroat Trout (lentic)"       "Cutthroat Trout (lotic)"       </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [41] "European Chub"                  "European Perch"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [43] "Flannelmouth Sucker"            "Flathead Catfish"              </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [45] "Flier"                          "Fourbarbel Scraper"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [47] "Freshwater Drum"                "Gizzard Shad"                  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [49] "Golden Shiner"                  "Golden Trout"                  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [51] "Goldeye"                        "Green Sunfish"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [53] "Horse Barbel"                   "Humpback Chub"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [55] "Kokanee"                        "Lake Chubsucker"               </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [57] "Lake Herring"                   "Lake Trout"                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [59] "Largemouth Bass"                "Largescale Sucker"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [61] "Longear Sunfish"                "Longnose Gar"                  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [63] "Marble Trout"                   "Mountain Mullet"               </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [65] "Mountain Whitefish"             "Muskellunge"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [67] "Muskellunge (female)"           "Muskellunge (male)"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [69] "Muskellunge (overall)"          "Nile Tilapia"                  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [71] "Nipple-Lip Scraper"             "Northern Pike"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [73] "Northern Pikeminnow"            "Northern Pikeminnow (original)"</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [75] "Northern Snakehead"             "Paddlefish"                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [77] "Paddlefish (female)"            "Paddlefish (male)"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [79] "Paddlefish (overall)"           "Palmetto Bass"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [81] "Pejerrey"                       "Pumpkinseed"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [83] "Pursak Chub"                    "Rainbow Trout"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [85] "Rainbow Trout (lentic)"         "Rainbow Trout (lotic)"         </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [87] "Razorback Sucker"               "Redbreast Sunfish"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [89] "Redear Sunfish"                 "Riffle Dace"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [91] "River Carpsucker"               "River Goby"                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [93] "Rock Bass"                      "Roundtail Chub"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [95] "Ruffe"                          "Sardine"                       </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [97] "Sauger"                         "Saugeye"                       </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  [99] "Shoal Bass"                     "Shorthead Redhorse"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [101] "Shovelnose Sturgeon"            "Silver Carp"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [103] "Smallmouth Bass"                "Smallmouth Buffalo"            </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [105] "South European Roach"           "Spotted Bass"                  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [107] "Spotted Bass (original)"        "Spotted Gar"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [109] "Spotted Sunfish"                "Striped Bass"                  </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [111] "Striped Bass (landlocked)"      "Striped Bass X White Bass"     </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [113] "Suwannee Bass"                  "Tiger Muskellunge"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [115] "Utah Chub"                      "Walleye"                       </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [117] "Walleye (30-149 mm)"            "Walleye (overall)"             </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [119] "Warmouth"                       "White Bass"                    </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [121] "White Catfish"                  "White Crappie"                 </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [123] "White Perch"                    "White Sturgeon"                </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [125] "White Sucker"                   "Yellow Bass"                   </span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> [127] "Yellow Bullhead"                "Yellow Perch"                  </span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#===== Find equation for Cutthroat Trout, demonstrating use of group</span></span></span>
-<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Cutthroat Trout"</span>,group<span class="op">=</span><span class="st">"lotic"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species group measure  units ref method min.TL    int slope</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 Cutthroat Trout lotic      TL metric  75    RLP    130 -5.189 3.099</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>                     source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 57 Kruse and Hubert (1997)</span>
-<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Cutthroat Trout"</span>,group<span class="op">=</span><span class="st">"lentic"</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>            species  group measure  units ref method min.TL    int slope</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55 Cutthroat Trout lentic      TL metric  75    RLP    130 -5.192 3.086</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>                     source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 55 Kruse and Hubert (1997)</span>
+<span class="r-in"><span><span class="co">#===== Find equations for Yellow Perch, in different formats</span></span></span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Yellow Perch"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          species measure  units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 257 Yellow Perch      TL metric  75    RLP    100 -5.386  3.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 257 Willis et al. (1991)</span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Yellow Perch"</span>,units<span class="op">=</span><span class="st">"metric"</span><span class="op">)</span>   <span class="co"># same as default</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          species measure  units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 257 Yellow Perch      TL metric  75    RLP    100 -5.386  3.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 257 Willis et al. (1991)</span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Yellow Perch"</span>,units<span class="op">=</span><span class="st">"English"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          species measure   units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 256 Yellow Perch      TL English  75    RLP      4 -3.506  3.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 256 Willis et al. (1991)</span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Yellow Perch"</span>,units<span class="op">=</span><span class="st">"English"</span>,simplify<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          species min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 256 Yellow Perch      4 -3.506  3.23</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#===== Find equation for Ruffe, demonstrating quadratic formula</span></span></span>
 <span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Ruffe"</span>,units<span class="op">=</span><span class="st">"metric"</span>,ref<span class="op">=</span><span class="fl">75</span>,simplify<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     species min.TL max.TL   int slope   quad</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 148   Ruffe     55    205 -2.58 0.621 0.6073</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 191   Ruffe     55    205 -2.58 0.621 0.6073</span>
 <span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Ruffe"</span>,units<span class="op">=</span><span class="st">"metric"</span>,ref<span class="op">=</span><span class="fl">50</span>,simplify<span class="op">=</span><span class="cn">TRUE</span><span class="op">)</span></span></span>
 <span class="r-out co"><span class="r-pr">#&gt;</span>     species min.TL max.TL     int  slope   quad</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 147   Ruffe     55    205 -3.3524 1.3969 0.4054</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 190   Ruffe     55    205 -3.3524 1.3969 0.4054</span>
+<span class="r-in"><span></span></span>
+<span class="r-in"><span><span class="co">#===== Find equation for Brown Trout, which has equations for sub-groups</span></span></span>
+<span class="r-in"><span><span class="co">#-----   demonstrating use of group= argument</span></span></span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Brown Trout"</span>,group<span class="op">=</span><span class="st">"lotic"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        species group measure  units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53 Brown Trout lotic      TL metric  75    RLP    140 -4.867  2.96</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                       source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 53 Milewski and Brown (1994)</span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Brown Trout"</span>,group<span class="op">=</span><span class="st">"lentic"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>        species  group measure  units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51 Brown Trout lentic      TL metric  75    RLP    140 -5.422 3.194</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                      source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 51 Hyatt and Hubert (2001b)</span>
+<span class="r-in"><span><span class="co">#-----   demonstrating group combined in species name, so no group= arg</span></span></span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Brown Trout (lotic)"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                species measure  units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57 Brown Trout (lotic)      TL metric  75    RLP    140 -4.867  2.96</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                       source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 57 Milewski and Brown (1994)</span>
+<span class="r-in"><span><span class="fu">wsVal</span><span class="op">(</span><span class="st">"Brown Trout (lentic)"</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                 species measure  units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55 Brown Trout (lentic)      TL metric  75    RLP    140 -5.422 3.194</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                      source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 55 Hyatt and Hubert (2001b)</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#===== Add Ws &amp; Wr values to a data frame (for one species) ... also see wrAdd()</span></span></span>
-<span class="r-in"><span><span class="co">#----- Get Ws equation info</span></span></span>
-<span class="r-in"><span><span class="va">wsBG</span> <span class="op">&lt;-</span> <span class="fu">wsVal</span><span class="op">(</span><span class="st">"Bluegill"</span>,units<span class="op">=</span><span class="st">"metric"</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="va">wsBG</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     species measure  units ref method min.TL    int slope         source</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 26 Bluegill      TL metric  75  Other     80 -5.374 3.316 Hillman (1982)</span>
+<span class="r-in"><span><span class="co">#----- Example data from PSDWRtest, simplify variables for this example</span></span></span>
+<span class="r-in"><span><span class="va">yepdf</span> <span class="op">&lt;-</span> <span class="fu"><a href="https://rdrr.io/r/base/subset.html" class="external-link">subset</a></span><span class="op">(</span><span class="va">PSDWRtest</span>,<span class="va">species</span><span class="op">==</span><span class="st">"Yellow Perch"</span>,select<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/c.html" class="external-link">c</a></span><span class="op">(</span><span class="st">"species"</span>,<span class="st">"len"</span>,<span class="st">"wt"</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">yepdf</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	170 obs. of  3 variables:</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ species: chr  "Yellow Perch" "Yellow Perch" "Yellow Perch" "Yellow Perch" ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ len    : num  140 128 133 123 158 146 125 104 127 165 ...</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>  $ wt     : num  37.5 22.6 26.9 26.8 NA 37.2 28.2 12.5 23.7 59.4 ...</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#----- Get example data</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">BluegillLM</span>,package<span class="op">=</span><span class="st">"FSAdata"</span><span class="op">)</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/str.html" class="external-link">str</a></span><span class="op">(</span><span class="va">BluegillLM</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 'data.frame':	100 obs. of  5 variables:</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ sernum: int  100 110 120 130 140 150 160 170 180 190 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ sl    : int  126 124 118 136 191 121 105 123 123 120 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ fl    : int  152 150 140 163 144 149 128 151 148 148 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ tl    : int  157 153 149 172 150 155 134 157 155 154 ...</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>  $ wght  : int  92 88 77 130 86 90 53 90 79 83 ...</span>
+<span class="r-in"><span><span class="co">#----- Get Ws equation info</span></span></span>
+<span class="r-in"><span><span class="op">(</span> <span class="va">wsYEP</span> <span class="op">&lt;-</span> <span class="fu">wsVal</span><span class="op">(</span><span class="st">"Yellow Perch"</span>,units<span class="op">=</span><span class="st">"metric"</span><span class="op">)</span> <span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          species measure  units ref method min.TL    int slope</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 257 Yellow Perch      TL metric  75    RLP    100 -5.386  3.23</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>                   source</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 257 Willis et al. (1991)</span>
 <span class="r-in"><span></span></span>
-<span class="r-in"><span><span class="co">#----- Add Ws (eqn is on log10-log10 scale ... so log10 len, 10^ result)</span></span></span>
-<span class="r-in"><span><span class="va">BluegillLM</span><span class="op">$</span><span class="va">ws</span> <span class="op">&lt;-</span> <span class="fl">10</span><span class="op">^</span><span class="op">(</span><span class="va">wsBG</span><span class="op">[[</span><span class="st">"int"</span><span class="op">]</span><span class="op">]</span><span class="op">+</span><span class="va">wsBG</span><span class="op">[[</span><span class="st">"slope"</span><span class="op">]</span><span class="op">]</span><span class="op">*</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log10</a></span><span class="op">(</span><span class="va">BluegillLM</span><span class="op">$</span><span class="va">tl</span><span class="op">)</span><span class="op">)</span></span></span>
+<span class="r-in"><span><span class="co">#----- Add Ws (eqn is on log10-log10 scale ... so log10 length, 10^ result)</span></span></span>
+<span class="r-in"><span><span class="va">yepdf</span><span class="op">$</span><span class="va">ws</span> <span class="op">&lt;-</span> <span class="fl">10</span><span class="op">^</span><span class="op">(</span><span class="va">wsYEP</span><span class="op">[[</span><span class="st">"int"</span><span class="op">]</span><span class="op">]</span><span class="op">+</span><span class="va">wsYEP</span><span class="op">[[</span><span class="st">"slope"</span><span class="op">]</span><span class="op">]</span><span class="op">*</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log10</a></span><span class="op">(</span><span class="va">yepdf</span><span class="op">$</span><span class="va">len</span><span class="op">)</span><span class="op">)</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Change Ws for fish less than min.TL to NA</span></span></span>
-<span class="r-in"><span><span class="va">BluegillLM</span><span class="op">$</span><span class="va">ws</span><span class="op">[</span><span class="va">BluegillLM</span><span class="op">$</span><span class="va">tl</span><span class="op">&lt;</span><span class="va">wsBG</span><span class="op">[[</span><span class="st">"min.TL"</span><span class="op">]</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NA</span></span></span>
+<span class="r-in"><span><span class="va">yepdf</span><span class="op">$</span><span class="va">ws</span><span class="op">[</span><span class="va">yepdf</span><span class="op">$</span><span class="va">len</span><span class="op">&lt;</span><span class="va">wsYEP</span><span class="op">[[</span><span class="st">"min.TL"</span><span class="op">]</span><span class="op">]</span><span class="op">]</span> <span class="op">&lt;-</span> <span class="cn">NA</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Add Wr</span></span></span>
-<span class="r-in"><span><span class="va">BluegillLM</span><span class="op">$</span><span class="va">wr</span> <span class="op">&lt;-</span> <span class="va">BluegillLM</span><span class="op">$</span><span class="va">wght</span><span class="op">/</span><span class="va">BluegillLM</span><span class="op">$</span><span class="va">ws</span><span class="op">*</span><span class="fl">100</span></span></span>
+<span class="r-in"><span><span class="va">yepdf</span><span class="op">$</span><span class="va">wr</span> <span class="op">&lt;-</span> <span class="va">yepdf</span><span class="op">$</span><span class="va">wt</span><span class="op">/</span><span class="va">yepdf</span><span class="op">$</span><span class="va">ws</span><span class="op">*</span><span class="fl">100</span></span></span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Examine results</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">BluegillLM</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     sernum  sl  fl  tl wght        ws        wr</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1      100 126 152 157   92  80.83571 113.81109</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20     290 124 148 153   86  74.20562 115.89419</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40     490 169 201 210  236 212.06997 111.28402</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60     690 175 215 221  277 251.19141 110.27447</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 80     890  90 110 115   27  28.79215  93.77557</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 100   1090 105 128 133   49  46.63286 105.07612</span>
+<span class="r-in"><span><span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">yepdf</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>           species len    wt        ws        wr</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 847  Yellow Perch 140  37.5  35.15552 106.66887</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 880  Yellow Perch 146  42.8  40.25870 106.31243</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 914  Yellow Perch 186 101.2  88.00894 114.98831</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 948  Yellow Perch 203 122.5 116.73799 104.93585</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 982  Yellow Perch 215 125.6 140.53232  89.37446</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1016 Yellow Perch 322 520.0 518.05333 100.37577</span>
 <span class="r-in"><span></span></span>
 <span class="r-in"><span><span class="co">#----- Same as above but using dplyr</span></span></span>
-<span class="r-in"><span><span class="fu"><a href="https://rdrr.io/r/utils/data.html" class="external-link">data</a></span><span class="op">(</span><span class="va">BluegillLM</span>,package<span class="op">=</span><span class="st">"FSAdata"</span><span class="op">)</span>   <span class="co"># reset to original for this example</span></span></span>
 <span class="r-in"><span><span class="kw">if</span> <span class="op">(</span><span class="kw"><a href="https://rdrr.io/r/base/library.html" class="external-link">require</a></span><span class="op">(</span><span class="va"><a href="https://dplyr.tidyverse.org" class="external-link">dplyr</a></span><span class="op">)</span><span class="op">)</span> <span class="op">{</span></span></span>
-<span class="r-in"><span>  <span class="va">BluegillLM</span> <span class="op">&lt;-</span> <span class="va">BluegillLM</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
-<span class="r-in"><span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ws<span class="op">=</span><span class="fl">10</span><span class="op">^</span><span class="op">(</span><span class="va">wsBG</span><span class="op">[[</span><span class="st">"int"</span><span class="op">]</span><span class="op">]</span><span class="op">+</span><span class="va">wsBG</span><span class="op">[[</span><span class="st">"slope"</span><span class="op">]</span><span class="op">]</span><span class="op">*</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log10</a></span><span class="op">(</span><span class="va">tl</span><span class="op">)</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>           ws<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">tl</span><span class="op">&lt;</span><span class="va">wsBG</span><span class="op">[[</span><span class="st">"min.TL"</span><span class="op">]</span><span class="op">]</span>,<span class="cn">NA</span>,<span class="va">ws</span><span class="op">)</span>,</span></span>
-<span class="r-in"><span>           wr<span class="op">=</span><span class="va">wght</span><span class="op">/</span><span class="va">ws</span><span class="op">*</span><span class="fl">100</span><span class="op">)</span></span></span>
-<span class="r-in"><span>  <span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">BluegillLM</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="va">yepdf</span> <span class="op">&lt;-</span> <span class="va">PSDWRtest</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/filter.html" class="external-link">filter</a></span><span class="op">(</span><span class="va">species</span><span class="op">==</span><span class="st">"Yellow Perch"</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span> <span class="fu"><a href="https://dplyr.tidyverse.org/reference/select.html" class="external-link">select</a></span><span class="op">(</span><span class="va">species</span>,<span class="va">len</span>,<span class="va">wt</span><span class="op">)</span> <span class="op"><a href="https://magrittr.tidyverse.org/reference/pipe.html" class="external-link">%&gt;%</a></span></span></span>
+<span class="r-in"><span>    <span class="fu"><a href="https://dplyr.tidyverse.org/reference/mutate.html" class="external-link">mutate</a></span><span class="op">(</span>ws<span class="op">=</span><span class="fl">10</span><span class="op">^</span><span class="op">(</span><span class="va">wsYEP</span><span class="op">[[</span><span class="st">"int"</span><span class="op">]</span><span class="op">]</span><span class="op">+</span><span class="va">wsYEP</span><span class="op">[[</span><span class="st">"slope"</span><span class="op">]</span><span class="op">]</span><span class="op">*</span><span class="fu"><a href="https://rdrr.io/r/base/Log.html" class="external-link">log10</a></span><span class="op">(</span><span class="va">len</span><span class="op">)</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>           ws<span class="op">=</span><span class="fu"><a href="https://rdrr.io/r/base/ifelse.html" class="external-link">ifelse</a></span><span class="op">(</span><span class="va">len</span><span class="op">&lt;</span><span class="va">wsYEP</span><span class="op">[[</span><span class="st">"min.TL"</span><span class="op">]</span><span class="op">]</span>,<span class="cn">NA</span>,<span class="va">ws</span><span class="op">)</span>,</span></span>
+<span class="r-in"><span>           wr<span class="op">=</span><span class="va">wt</span><span class="op">/</span><span class="va">ws</span><span class="op">*</span><span class="fl">100</span><span class="op">)</span></span></span>
+<span class="r-in"><span>  <span class="fu"><a href="peek.html">peek</a></span><span class="op">(</span><span class="va">yepdf</span>,n<span class="op">=</span><span class="fl">6</span><span class="op">)</span></span></span>
 <span class="r-in"><span><span class="op">}</span></span></span>
-<span class="r-out co"><span class="r-pr">#&gt;</span>     sernum  sl  fl  tl wght        ws        wr</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 1      100 126 152 157   92  80.83571 113.81109</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 20     290 124 148 153   86  74.20562 115.89419</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 40     490 169 201 210  236 212.06997 111.28402</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 60     690 175 215 221  277 251.19141 110.27447</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 80     890  90 110 115   27  28.79215  93.77557</span>
-<span class="r-out co"><span class="r-pr">#&gt;</span> 100   1090 105 128 133   49  46.63286 105.07612</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span>          species len    wt        ws        wr</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 1   Yellow Perch 140  37.5  35.15552 106.66887</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 34  Yellow Perch 146  42.8  40.25870 106.31243</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 68  Yellow Perch 186 101.2  88.00894 114.98831</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 102 Yellow Perch 203 122.5 116.73799 104.93585</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 136 Yellow Perch 215 125.6 140.53232  89.37446</span>
+<span class="r-out co"><span class="r-pr">#&gt;</span> 170 Yellow Perch 322 520.0 518.05333 100.37577</span>
 <span class="r-in"><span></span></span>
 </code></pre></div>
     </div>
@@ -272,7 +307,7 @@ <h2 id="ref-examples">Examples<a class="anchor" aria-label="anchor" href="#ref-e
 </div>
 
 <div class="pkgdown-footer-right">
-  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.1.2.</p>
+  <p>Site built with <a href="https://pkgdown.r-lib.org/" class="external-link">pkgdown</a> 2.2.0.</p>
 </div>
 
     </footer></div>
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index 846f5401..e65923b2 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -1,6 +1,7 @@
 <urlset xmlns = 'http://www.sitemaps.org/schemas/sitemap/0.9'>
 <url><loc>https://fishr-core-team.github.io/FSA/404.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/articles/Computing_PSDs.html</loc></url>
+<url><loc>https://fishr-core-team.github.io/FSA/articles/Computing_PSDs_and_RelativeWeights.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/articles/Fitting_Growth_Functions.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/articles/Growth_Function_Parameterizations.html</loc></url>
@@ -79,6 +80,7 @@
 <url><loc>https://fishr-core-team.github.io/FSA/reference/PSDlit.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/reference/psdPlot.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/reference/psdVal.html</loc></url>
+<url><loc>https://fishr-core-team.github.io/FSA/reference/PSDWRtest.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/reference/rcumsum.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/reference/removal.html</loc></url>
 <url><loc>https://fishr-core-team.github.io/FSA/reference/repeatedRows2Keep.html</loc></url>
diff --git a/inst/extdata/PSDWR_data4testthat.csv b/inst/extdata/PSDWR_data4testthat.csv
new file mode 100644
index 00000000..90a46b46
--- /dev/null
+++ b/inst/extdata/PSDWR_data4testthat.csv
@@ -0,0 +1,291 @@
+species,location,sex,species2,len,wt,psd,ws,wr
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,66,5.1,substock,NA,NA
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,85,NA,stock,10.56703529,NA
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,97,16.6,stock,16.3732567,101.3848393
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,101,15.9,stock,18.72102725,84.93123687
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,102,18.3,stock,19.34274781,94.60910197
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,104,21.9,stock,20.62920792,106.1601593
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,108,21.5,stock,23.37938987,91.96133912
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,108,22.9,stock,23.37938987,97.94951934
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,108,27.2,stock,23.37938987,116.3417872
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,114,30.1,stock,27.97025895,107.6143058
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,124,38.5,stock,36.96462528,104.1536326
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,137,50.7,stock,51.44763325,98.5468073
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,143,61.8,stock,59.3054083,104.2063477
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,149,74,stock,67.96505396,108.8794839
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,151,81.1,quality,71.03748171,114.1650831
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,154,82.4,quality,75.82609843,108.6697083
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,154,NA,quality,75.82609843,NA
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,155,75.1,quality,77.47113365,96.9393327
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,156,72.5,quality,79.14093341,91.60872494
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,156,81.7,quality,79.14093341,103.2335562
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,163,95.9,quality,91.54067199,104.7621761
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,165,93.6,quality,95.31840335,98.19719667
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,165,104.5,quality,95.31840335,109.632554
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,179,NA,quality,124.87073,NA
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,184,151.5,quality,136.8156888,110.7329148
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,186,161.1,quality,141.8093685,113.6032137
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,191,138.3,quality,154.8483727,89.31317622
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,207,216.2,preferred,202.1890658,106.9296202
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,209,213.7,preferred,208.7397143,102.3763018
+Bluegill Sunfish,Bass Lake,NA,Bluegill Sunfish,239,346.6,preferred,325.6622653,106.4292787
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),135,27.8,stock,26.5720881,104.6210591
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),147,38.3,stock,34.60873215,110.6657124
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),164,51.9,stock,48.60270721,106.7841752
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),166,56.1,stock,50.4655949,111.1648443
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),172,62.3,stock,56.34362316,110.571519
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),204,NA,quality,95.67146175,NA
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),206,108.2,quality,98.61204945,109.7228996
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),208,110.7,quality,101.6132936,108.9424386
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),229,150.6,quality,136.9523541,109.9652511
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),241,174.7,quality,160.4718588,108.8664401
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),245,185.5,quality,168.8816097,109.8402605
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),246,187.6,quality,171.0297407,109.6885251
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),249,193.9,quality,177.5851204,109.1870758
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),261,225.1,quality,205.5111996,109.5317435
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),271,253.4,quality,230.9424185,109.7243207
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),276,268.2,quality,244.4223311,109.7281082
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),279,276.8,quality,252.7608707,109.5106213
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),285,296,quality,270.0123326,109.6246224
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),291,316.4,quality,288.0447373,109.8440482
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),336,492.3,quality,450.0189248,109.3953994
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),339,505.1,quality,462.6042981,109.1861883
+Brook Trout,Trout Lake,NA,Brook Trout (lotic),340,512.6,quality,466.8518451,109.7992876
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),161,25.5,substock,42.32547572,60.24740317
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),172,27.8,substock,52.27305224,53.18227807
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),203,53.9,stock,88.74468355,60.73603268
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),206,54.4,stock,93.00191728,58.49341776
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),209,54,stock,97.39737179,55.4429745
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),215,67.3,stock,106.612577,63.1257605
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),225,78.1,stock,123.2738509,63.35487976
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),258,111.1,stock,190.8593062,58.21041803
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),286,158.6,stock,265.2363909,59.79571636
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),295,176.6,stock,292.8272703,60.30859074
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),297,NA,stock,299.2155082,NA
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),298,187.4,stock,302.4452356,61.96163072
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),299,174.8,stock,305.6988293,57.18046105
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),308,203,quality,336.0709615,60.40390967
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),314,182.6,quality,357.4318887,51.08665617
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),316,261.1,quality,364.754402,71.58241231
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),318,204.4,quality,372.1793056,54.919765
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),324,202.4,quality,395.0761042,51.23063578
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),326,253,quality,402.9183201,62.79188296
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),333,232.2,quality,431.2080718,53.84871369
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),338,233.3,quality,452.2305951,51.58872542
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),339,223,quality,456.5179265,48.848027
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),348,NA,quality,496.3683768,NA
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),423,575.7,preferred,925.829753,62.18205865
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),442,720.1,preferred,1065.316683,67.59492377
+Brown Trout,Brushy Creek,M,Brown Trout (lentic),447,642,preferred,1104.287685,58.13702433
+Brown Trout,Brushy Creek,F,Brown Trout (lentic),455,754.1,preferred,1168.660596,64.52686117
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),128,25,substock,NA,NA
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),134,29.9,substock,NA,NA
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),138,32.7,substock,NA,NA
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),143,40.9,substock,32.56826858,125.5823591
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),208,117.3,stock,98.73416814,118.8038571
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),220,116,stock,116.5657964,99.51461198
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),230,122.9,quality,132.9579758,92.43522193
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),232,144.8,quality,136.4094429,106.151009
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),245,164.4,quality,160.299294,102.558156
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),249,171.8,quality,168.1705976,102.158167
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),254,181.5,quality,178.3642456,101.7580622
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),264,NA,quality,199.9620698,NA
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),281,257.4,quality,240.5308062,107.0133194
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),333,461.3,preferred,397.5895226,116.0241842
+Brown Trout,Trout Lake,NA,Brown Trout (lotic),374,583,preferred,560.6604774,103.984501
+Iowa Darter,Bass Lake,NA,Iowa Darter,43,0.3,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,43,0.6,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,46,NA,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,46,NA,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,46,NA,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,48,0.7,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,48,0.8,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,48,NA,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,51,0.6,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,51,0.8,NA,NA,NA
+Iowa Darter,Bass Lake,NA,Iowa Darter,56,0.9,NA,NA,NA
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,188,55.4,substock,82.28461484,67.32728847
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,191,64.6,substock,86.66070365,74.54359044
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,196,61.4,substock,94.30921318,65.10498596
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,196,69.8,substock,94.30921318,74.011857
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,200,77.5,stock,100.7560599,76.91845046
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,202,85,stock,104.0914437,81.65896922
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,204,78.1,stock,107.5027411,72.64931034
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,208,76.6,stock,114.5569112,66.86632799
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,226,103.8,stock,150.3131311,69.05584314
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,273,172.3,stock,278.9718251,61.7625095
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,284,201.8,stock,317.4760198,63.56385597
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,285,218.3,stock,321.1494827,67.97457625
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,286,246.7,stock,324.8523602,75.94219105
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,287,228.3,stock,328.5847837,69.47978462
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,288,246.4,stock,332.3468849,74.1394041
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,292,206.4,stock,347.6947017,59.36242312
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,294,242.9,stock,355.550106,68.31667208
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,294,248.3,stock,355.550106,69.83544536
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,295,271.7,stock,359.5236451,75.57221999
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,296,236.6,stock,363.5279189,65.08440966
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,301,259.4,quality,384.014957,67.54945224
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,306,311.9,quality,405.2903179,76.95718013
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,312,259.9,quality,431.8848663,60.17807528
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,319,379.9,quality,464.4157135,81.80171105
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,330,NA,quality,518.914881,NA
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,333,349.3,quality,534.5150973,65.34894932
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,333,395,quality,534.5150973,73.8987546
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,335,390.6,quality,545.094316,71.65732398
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,341,483.2,quality,577.7036114,83.64150587
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,347,472.4,quality,611.6435087,77.23453176
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,362,467.6,quality,702.5110364,66.56123189
+Largemouth Bass,Bass Lake,NA,Largemouth Bass,396,726.3,preferred,942.4457136,77.0654468
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,276,197.8,substock,NA,NA
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,312,276,stock,260.0314108,106.1410232
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,458,895.7,stock,904.0018965,99.08165054
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,471,913.1,stock,989.9787318,92.2343047
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,473,1106.5,stock,1003.689227,110.2432875
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,478,1075.6,stock,1038.53934,103.5685369
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,511,1157.3,quality,1289.835251,89.72463727
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,524,1240.2,quality,1399.424128,88.62216786
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,525,1156.5,quality,1408.111673,82.13126997
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,529,1480,quality,1443.235196,102.5473883
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,558,1539.7,quality,1716.226524,89.71426429
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,564,1526.6,quality,1776.85493,85.91584909
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,580,1877.7,quality,1945.751021,96.50258329
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,595,1937.8,quality,2113.888474,91.66992601
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,601,1973,quality,2183.868762,90.3442567
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,680,3403.4,preferred,3260.79826,104.3732156
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,709,3488.7,preferred,3734.200901,93.42561079
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,724,4312.4,preferred,3996.790513,107.8965732
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,736,3830.4,preferred,4215.852282,90.85707335
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,737,3990.9,preferred,4234.473951,94.24783447
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,752,5291.2,preferred,4520.673175,117.0445152
+Lean Lake Trout,Trout Lake,F,Lean Lake Trout,781,5994,preferred,5111.463406,117.2658302
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,785,4678.7,preferred,5196.930463,90.02814322
+Lean Lake Trout,Trout Lake,M,Lean Lake Trout,829,6924,memorable,6203.374581,111.6166678
+Muskellunge,Long Lake,F,Muskellunge (female),542,1167.2,stock,1063.059608,109.796289
+Muskellunge,Long Lake,F,Muskellunge (female),593,1460.1,stock,1435.498278,101.7138106
+Muskellunge,Long Lake,F,Muskellunge (female),766,2768.2,quality,3375.391019,82.01123911
+Muskellunge,Long Lake,F,Muskellunge (female),1090,11590.9,memorable,10964.89565,105.7091683
+Muskellunge,Long Lake,M,Muskellunge (male),572,1355.6,stock,1332.754365,101.714167
+Muskellunge,Long Lake,M,Muskellunge (male),604,1669.3,stock,1590.248028,104.9710467
+Muskellunge,Long Lake,M,Muskellunge (male),680,2756.5,stock,2336.099959,117.9958071
+Muskellunge,Long Lake,M,Muskellunge (male),716,2761.9,stock,2761.803384,100.0034983
+Muskellunge,Long Lake,M,Muskellunge (male),786,3576.5,quality,3738.059087,95.67799537
+Muskellunge,Long Lake,M,Muskellunge (male),947,8109.2,quality,6843.144046,118.5010858
+Muskellunge,Long Lake,M,Muskellunge (male),965,8692.1,quality,7274.298726,119.4905561
+Muskellunge,Long Lake,M,Muskellunge (male),978,8879.3,preferred,7597.130451,116.8770243
+Muskellunge,Long Lake,M,Muskellunge (male),1045,11109.7,preferred,9419.597863,117.9424022
+Muskellunge,Long Lake,U,Muskellunge (overall),683,2723.2,stock,2282.700005,119.2973231
+Muskellunge,Long Lake,U,Muskellunge (overall),856,6312.3,quality,4835.877239,130.5306088
+Muskellunge,Long Lake,U,Muskellunge (overall),940,8965.1,quality,6601.613786,135.8016432
+Muskellunge,Long Lake,U,Muskellunge (overall),1097,11376.4,memorable,11032.8328,103.1140434
+Ruffe,Round Lake,NA,Ruffe,19,0.1,substock,NA,NA
+Ruffe,Round Lake,NA,Ruffe,26,0.1,substock,NA,NA
+Ruffe,Round Lake,NA,Ruffe,95,9.4,quality,10.55732536,89.03770301
+Ruffe,Round Lake,NA,Ruffe,105,11.7,quality,14.32531794,81.67357997
+Ruffe,Round Lake,NA,Ruffe,106,11.7,quality,14.74948502,79.32480343
+Ruffe,Round Lake,NA,Ruffe,114,17.5,quality,18.48152114,94.68917557
+Ruffe,Round Lake,NA,Ruffe,118,20.6,quality,20.58697,100.0632924
+Ruffe,Round Lake,NA,Ruffe,137,25.2,preferred,33.08087874,76.17693652
+Ruffe,Round Lake,NA,Ruffe,143,31.7,memorable,37.98916046,83.44485537
+Ruffe,Round Lake,NA,Ruffe,151,40.6,memorable,45.34913131,89.52762452
+Ruffe,Round Lake,NA,Ruffe,152,36.1,memorable,46.33839166,77.90516396
+Ruffe,Round Lake,NA,Ruffe,175,56.4,trophy,73.85609555,76.36471923
+Ruffe,Round Lake,NA,Ruffe,189,89.3,trophy,95.69305504,93.31920688
+Ruffe,Round Lake,NA,Ruffe,196,102.5,trophy,108.2707524,94.67007266
+Walleye,Bass Lake,NA,Walleye (30-149 mm),75,3.5,substock,3.763143371,93.00735197
+Walleye,Bass Lake,NA,Walleye (30-149 mm),75,3.6,substock,3.763143371,95.66470489
+Walleye,Bass Lake,NA,Walleye (30-149 mm),75,3.8,substock,3.763143371,100.9794107
+Walleye,Bass Lake,NA,Walleye (30-149 mm),82,5.1,substock,4.861070755,104.9151567
+Walleye,Bass Lake,NA,Walleye (30-149 mm),84,4.8,substock,5.209034954,92.14758668
+Walleye,Bass Lake,NA,Walleye (30-149 mm),84,5,substock,5.209034954,95.98706946
+Walleye,Bass Lake,NA,Walleye (30-149 mm),85,NA,substock,5.388934412,NA
+Walleye,Bass Lake,NA,Walleye (30-149 mm),86,5.2,substock,5.572833357,93.30980611
+Walleye,Bass Lake,NA,Walleye (30-149 mm),93,7.2,substock,6.97553592,103.2178758
+Walleye,Bass Lake,NA,Walleye (30-149 mm),96,7,substock,7.640753123,91.61400568
+Walleye,Bass Lake,NA,Walleye (30-149 mm),96,9,substock,7.640753123,117.7894359
+Walleye,Bass Lake,NA,Walleye (30-149 mm),108,10.9,substock,10.71254735,101.749842
+Walleye,Bass Lake,NA,Walleye (30-149 mm),110,12,substock,11.29160335,106.2736587
+Walleye,Bass Lake,NA,Walleye (30-149 mm),121,15.9,substock,14.84264251,107.123782
+Walleye,Bass Lake,NA,Walleye (30-149 mm),123,15.4,substock,15.55742675,98.98809264
+Walleye,Bass Lake,NA,Walleye (30-149 mm),127,16.8,substock,17.05347447,98.5136491
+Walleye,Bass Lake,NA,Walleye (30-149 mm),132,19.1,substock,19.05138742,100.2551656
+Walleye,Bass Lake,NA,Walleye (overall),228,117,substock,110.9769573,105.4272912
+Walleye,Bass Lake,NA,Walleye (overall),258,145.7,stock,164.4184936,88.61533565
+Walleye,Bass Lake,NA,Walleye (overall),261,190.8,stock,170.575563,111.8565852
+Walleye,Bass Lake,NA,Walleye (overall),266,194.2,stock,181.1855691,107.182929
+Walleye,Bass Lake,NA,Walleye (overall),268,218.4,stock,185.553284,117.7020397
+Walleye,Bass Lake,F,Walleye (overall),347,431.3,stock,421.9371158,102.2190236
+Walleye,Bass Lake,M,Walleye (overall),348,448.6,stock,425.8160194,105.3506631
+Walleye,Bass Lake,F,Walleye (overall),381,540.6,quality,567.9909587,95.17757135
+Walleye,Bass Lake,F,Walleye (overall),385,519.6,quality,587.1717057,88.49200242
+Walleye,Bass Lake,M,Walleye (overall),390,527.9,quality,611.7661602,86.29114102
+Walleye,Bass Lake,M,Walleye (overall),392,667.9,quality,621.7985331,107.4142129
+Walleye,Bass Lake,M,Walleye (overall),401,752.5,quality,668.3425401,112.5919652
+Walleye,Bass Lake,M,Walleye (overall),402,698.2,quality,673.657034,103.6432435
+Walleye,Bass Lake,M,Walleye (overall),411,729.4,quality,722.7980855,100.913383
+Walleye,Bass Lake,M,Walleye (overall),418,698.4,quality,762.6768708,91.57220137
+Walleye,Bass Lake,M,Walleye (overall),419,582.7,quality,768.4941981,75.82360433
+Walleye,Bass Lake,M,Walleye (overall),428,787.8,quality,822.2259617,95.81307775
+Walleye,Bass Lake,M,Walleye (overall),431,962.6,quality,840.6935571,114.5006991
+Walleye,Bass Lake,F,Walleye (overall),432,841.7,quality,846.9120554,99.38458128
+Walleye,Bass Lake,M,Walleye (overall),434,794.6,quality,859.4435168,92.45517413
+Walleye,Bass Lake,M,Walleye (overall),449,851.3,quality,957.5101016,88.90767822
+Walleye,Bass Lake,F,Walleye (overall),454,848.7,quality,991.830849,85.56902629
+Walleye,Bass Lake,F,Walleye (overall),470,1293.1,quality,1107.315013,116.7779705
+Walleye,Bass Lake,M,Walleye (overall),490,1313,quality,1264.222556,103.8582957
+Walleye,Bass Lake,M,Walleye (overall),515,1586.3,preferred,1480.97248,107.1120511
+Walleye,Bass Lake,F,Walleye (overall),549,1603.9,preferred,1814.847157,88.37658831
+Walleye,Bass Lake,F,Walleye (overall),560,1762.5,preferred,1933.027025,91.17823894
+Walleye,Bass Lake,F,Walleye (overall),564,1827.9,preferred,1977.277164,92.4453098
+Walleye,Bass Lake,M,Walleye (overall),571,2390.1,preferred,2056.377409,116.2286645
+Walleye,Bass Lake,M,Walleye (overall),572,1878.4,preferred,2067.851616,90.83823935
+Walleye,Bass Lake,M,Walleye (overall),603,2330.6,preferred,2445.733051,95.29249313
+Walleye,Bass Lake,F,Walleye (overall),653,3286.3,memorable,3150.822343,104.2997555
+Yellow Perch,Bass Lake,F,Yellow Perch,105,12.5,substock,13.88166105,90.04686078
+Yellow Perch,Bass Lake,F,Yellow Perch,120,17.8,substock,21.36758424,83.3037549
+Yellow Perch,Bass Lake,F,Yellow Perch,122,23.4,substock,22.53939492,103.8182262
+Yellow Perch,Bass Lake,F,Yellow Perch,128,27.8,substock,26.32014042,105.6225368
+Yellow Perch,Bass Lake,F,Yellow Perch,131,30.6,stock,28.3652284,107.8785602
+Yellow Perch,Bass Lake,F,Yellow Perch,133,26.9,stock,29.78796263,90.30493403
+Yellow Perch,Bass Lake,F,Yellow Perch,136,34,stock,32.01331692,106.205802
+Yellow Perch,Bass Lake,F,Yellow Perch,138,32.3,stock,33.55903384,96.24830128
+Yellow Perch,Bass Lake,M,Yellow Perch,146,42.8,stock,40.25869789,106.31243
+Yellow Perch,Bass Lake,F,Yellow Perch,150,40.2,stock,43.931372,91.50636133
+Yellow Perch,Bass Lake,F,Yellow Perch,150,44.8,stock,43.931372,101.9772385
+Yellow Perch,Bass Lake,F,Yellow Perch,151,NA,stock,44.88441196,NA
+Yellow Perch,Bass Lake,M,Yellow Perch,154,44.9,stock,47.82906911,93.87596464
+Yellow Perch,Bass Lake,F,Yellow Perch,154,49.5,stock,47.82906911,103.4935468
+Yellow Perch,Bass Lake,M,Yellow Perch,158,NA,stock,51.95919224,NA
+Yellow Perch,Bass Lake,F,Yellow Perch,162,50.4,stock,56.3291888,89.47403837
+Yellow Perch,Bass Lake,F,Yellow Perch,174,71.8,stock,70.95354063,101.1929769
+Yellow Perch,Bass Lake,F,Yellow Perch,189,90,stock,92.67692754,97.1115491
+Yellow Perch,Bass Lake,F,Yellow Perch,196,104.9,stock,104.2286495,100.6441132
+Yellow Perch,Bass Lake,F,Yellow Perch,197,88.7,stock,105.9560868,83.7139259
+Yellow Perch,Bass Lake,M,Yellow Perch,206,117.7,quality,122.402735,96.15798212
+Yellow Perch,Bass Lake,F,Yellow Perch,225,176.3,quality,162.7606942,108.3185353
+Yellow Perch,Bass Lake,F,Yellow Perch,240,215.9,quality,200.4851966,107.6887489
+Yellow Perch,Bass Lake,M,Yellow Perch,244,248.8,quality,211.4799208,117.6471029
+Yellow Perch,Bass Lake,M,Yellow Perch,248,226.5,quality,222.8840184,101.6223602
+Yellow Perch,Bass Lake,M,Yellow Perch,249,228.7,quality,225.7999758,101.2843332
+Yellow Perch,Bass Lake,M,Yellow Perch,252,242.2,preferred,234.7057594,103.1930365
+Yellow Perch,Bass Lake,F,Yellow Perch,257,285,preferred,250.0828951,113.9622124
+Yellow Perch,Bass Lake,F,Yellow Perch,260,269.5,preferred,259.6354047,103.799403
+Yellow Perch,Bass Lake,M,Yellow Perch,261,289.6,preferred,262.8747294,110.1665423
+Yellow Perch,Bass Lake,F,Yellow Perch,262,286.5,preferred,266.1418497,107.6493608
+Yellow Perch,Bass Lake,M,Yellow Perch,264,305,preferred,272.7600013,111.8199144
+Yellow Perch,Bass Lake,F,Yellow Perch,265,272.7,preferred,276.111295,98.76452176
+Yellow Perch,Bass Lake,F,Yellow Perch,266,271.4,preferred,279.4909091,97.1051262
+Yellow Perch,Bass Lake,F,Yellow Perch,266,297.9,preferred,279.4909091,106.586651
+Yellow Perch,Bass Lake,F,Yellow Perch,274,321.8,preferred,307.5631625,104.628915
+Yellow Perch,Bass Lake,M,Yellow Perch,277,283.4,preferred,318.5735053,88.95906135
+Yellow Perch,Bass Lake,F,Yellow Perch,278,315.6,preferred,322.3032545,97.92020268
+Yellow Perch,Bass Lake,M,Yellow Perch,279,373,preferred,326.0630424,114.395056
+Yellow Perch,Bass Lake,M,Yellow Perch,280,346.9,preferred,329.8530022,105.168059
+Yellow Perch,Bass Lake,F,Yellow Perch,281,348.1,preferred,333.6732668,104.3236107
+Yellow Perch,Bass Lake,F,Yellow Perch,284,348.7,preferred,345.3172219,100.9796146
+Yellow Perch,Bass Lake,M,Yellow Perch,288,419,preferred,361.2748551,115.9781795
+Yellow Perch,Bass Lake,F,Yellow Perch,291,422.6,preferred,373.5720318,113.1241003
+Yellow Perch,Bass Lake,M,Yellow Perch,299,411.3,preferred,407.7725042,100.8650646
+Yellow Perch,Bass Lake,F,Yellow Perch,306,360.8,memorable,439.4203924,82.10816027
+Yellow Perch,Bass Lake,M,Yellow Perch,312,455.9,memorable,467.8636867,97.44291189
+Yellow Perch,Bass Lake,F,Yellow Perch,313,507.2,memorable,472.7246079,107.2929125
+Yellow Perch,Bass Lake,M,Yellow Perch,347,675.2,memorable,659.5750265,102.3689456
diff --git a/inst/extdata/PSDWR_data4testthat.xlsx b/inst/extdata/PSDWR_data4testthat.xlsx
new file mode 100644
index 00000000..2a16ef80
Binary files /dev/null and b/inst/extdata/PSDWR_data4testthat.xlsx differ
diff --git a/man/PSDWRtest.Rd b/man/PSDWRtest.Rd
new file mode 100644
index 00000000..0a0b3b3d
--- /dev/null
+++ b/man/PSDWRtest.Rd
@@ -0,0 +1,47 @@
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/PSDWRtest.R
+\docType{data}
+\name{PSDWRtest}
+\alias{PSDWRtest}
+\title{Hypothetical weight-length data for testing PSD and relative weight functions}
+\format{
+A data frame of many observations on the following 5 variables:
+ \describe{
+   \item{species}{Species name}
+   \item{location}{Broad location of capture}
+   \item{len}{Length in mm}
+   \item{wt}{Weight in g}
+   \item{sex}{Sex as \code{F} for female, \code{M} for male, or \code{U} or \code{NA} for unknown or unrecorded}
+ }
+}
+\description{
+Hypothetical weight-length and associated data. These data are useful for testing PSD and relative weight functions (e.g., \code{\link{psdAdd}} and \code{\link{wrAdd}}).
+}
+\section{Topic(s)}{
+
+ \itemize{
+   \item Size structure
+   \item Proportional size structure
+   \item Relative stock density
+   \item Proportional stock density
+   \item Relative weight
+   \item Standard weight
+   \item Condition
+ }
+}
+
+\examples{
+str(PSDWRtest)
+peek(PSDWRtest,n=20)
+unique(PSDWRtest$species)
+
+}
+\seealso{
+\code{\link{psdAdd}}, \code{\link{psdCalc}}, and \code{\link{wrAdd}}
+}
+\concept{Condition}
+\concept{PSD}
+\concept{Relative Weight}
+\concept{Size Structure}
+\concept{Standard Weight}
+\keyword{datasets}
diff --git a/man/PSDlit.Rd b/man/PSDlit.Rd
index c42afe34..e74e3dbc 100644
--- a/man/PSDlit.Rd
+++ b/man/PSDlit.Rd
@@ -30,6 +30,9 @@ Original summary table from Dr. Michael Hansen, University of Wisconsin-Stevens
 \description{
 Cutoffs for the Gabelhouse five-cell length categories for a variety of species.
 }
+\details{
+Entries for some species (e.g., \dQuote{Muskellunge} and \dQuote{Walleye}) have been duplicated for sub-groups to facilitate use with relative weight calculations. For example, entries for \dQuote{Muskellunge (overall)}, \dQuote{Muskellunge (female)}, and \dQuote{Muskellunge (male)} are duplicates of the entry for \dQuote{Muskellunge}; i.e., these entries in \code{PSDlit} are not necessarily just for those sub-groups but this allows for seamless similar computations of relative weights for these sub-groups.
+}
 \section{Topic(s)}{
 
  \itemize{
diff --git a/man/WSlit.Rd b/man/WSlit.Rd
index e9fe6e02..970d52e4 100644
--- a/man/WSlit.Rd
+++ b/man/WSlit.Rd
@@ -30,6 +30,8 @@ Parameters for all known standard weight equations.
 }
 \details{
 The minimum TL for the English units were derived by rounding the converted minimum TL for the metric units to what seemed like common units (inches, half inches, or quarter inches).
+
+Entries for \dQuote{Chinook Salmon (landlocked)} and \dQuote{Striped Bass (landlocked)} are the same as for \dQuote{Chinook Salmon} and \dQuote{Striped Bass} but were added to facilitate use with PSD calculations as Gabelhouse lengths are only published for the landlocked sub-group; i.e., these entries in \code{WSlit} are not necessarily just for landlocked populations.
 }
 \section{Topic(s)}{
 
diff --git a/man/metaM.Rd b/man/metaM.Rd
index 4361c863..9104d3d3 100644
--- a/man/metaM.Rd
+++ b/man/metaM.Rd
@@ -74,6 +74,7 @@ One of several methods is chosen with \code{method}. The available methods can b
    \item \code{method="HoenigLM"}: The \dQuote{modified Hoenig equation derived with a linear model} as described in Then \emph{et al.} (2015) on the second line of Table 3. Requires only \code{tmax}.
    \item \code{method="HewittHoenig"}: The \dQuote{Hewitt and Hoenig (2005) equation} from their equation 8. Requires only \code{tmax}.
    \item \code{method="tmax1"}: The \dQuote{one-parameter tmax equation} from the first line of Table 3 in Then \emph{et al.} (2015). Requires only \code{tmax}.
+   \item \code{method="HamelCope"}: The equation 7 from Hamel and Cope (2022). Requires only \code{tmax}.
    \item \code{method="K1"}:  The \dQuote{one-parameter K equation} from the fourth line of Table 3 in Then \emph{et al.} (2015). Requires only \code{K}.
    \item \code{method="K2"}: The \dQuote{two-parameter K equation} from the fifth line of Table 3 in Then \emph{et al.} (2015). Requires only \code{K}.
    \item \code{method="JensenK1"}: The \dQuote{Jensen (1996) one-parameter K equation}. Requires only \code{K}.
@@ -92,9 +93,9 @@ One of several methods is chosen with \code{method}. The available methods can b
 Conditional mortality (cm) is estimated from instantaneous natural mortality (M) with 1-exp(-M). It is returned with M here simply as a courtesy for those using the \code{rFAMS} package.
 }
 \section{Testing}{
- Kenchington (2014) provided life history parameters for several stocks and used many models to estimate M. I checked the calculations for the \code{PaulyL}, \code{PaulyW}, \code{HoenigO}, \code{HoenigOF}, \code{HoenigO2}, \code{HoenigO2F}, \code{"JensenK1"}, \code{"Gislason"}, \code{"AlversonCarney"}, \code{"Charnov"}, \code{"ZhangMegrey"}, \code{"RikhterEfanov1"}, and \code{"RikhterEfanov2"} methods for three stocks. All results perfectly matched Kenchington's results for Chesapeake Bay Anchovy and Rio Formosa Seahorse. For the Norwegian Fjord Lanternfish, all results perfectly matched Kenchington's results except for \code{HoenigOF} and \code{HoenigO2F}.
+ Kenchington (2014) provided life history parameters for several stocks and used many models to estimate M. I checked the calculations for the \code{"PaulyL"}, \code{"PaulyW"}, \code{"HoenigO"}, \code{"HoenigOF"}, \code{"HoenigO2"}, \code{"HoenigO2F"}, \code{"JensenK1"}, \code{"Gislason"}, \code{"AlversonCarney"}, \code{"Charnov"}, \code{"ZhangMegrey"}, \code{"RikhterEfanov1"}, and \code{"RikhterEfanov2"} methods for three stocks. All results perfectly matched Kenchington's results for Chesapeake Bay Anchovy and Rio Formosa Seahorse. For the Norwegian Fjord Lanternfish, all results perfectly matched Kenchington's results except for \code{"HoenigOF"} and \code{"HoenigO2F"}.
 
-Results for the Rio Formosa Seahorse data were also tested against results from \code{\link[fishmethods]{M.empirical}} from \pkg{fishmethods} for the \code{PaulyL}, \code{PaulyW}, \code{HoenigO}, \code{HoenigOF}, \code{"Gislason"}, and \code{"AlversonCarney"} methods (the only methods in common between the two packages). All results matched perfectly.
+Results for the Rio Formosa Seahorse data were also tested against results from \code{\link[fishmethods]{M.empirical}} from \pkg{fishmethods} for the \code{"PaulyL"}, \code{"PaulyW"}, \code{"HoenigO"}, \code{"HoenigOF"}, \code{"Gislason"}, and \code{"AlversonCarney"} methods (the only methods in common between the two packages). All results matched perfectly.
 }
 
 \section{IFAR Chapter}{
@@ -107,7 +108,7 @@ Mmethods()
 Mmethods("tmax")
 
 ## Simple Examples
-metaM("tmax",tmax=20)
+metaM("HamelCope",tmax=20)
 metaM("HoenigNLS",tmax=20)
 metaM("HoenigNLS",tmax=20,verbose=FALSE)
  
@@ -132,7 +133,7 @@ metaM(c("RikhterEfanov1","PaulyL","HoenigO","HewittHoenig","AlversonCarney"),
 
 ## Example of multiple methods using Mmethods
 # select some methods
-metaM(Mmethods()[-c(15,20,22:24,26:29)],K=K,Linf=Linf,Temp=Temp,tmax=tmax,t50=t50)
+metaM(Mmethods()[-c(16,21,23:25,27:30)],K=K,Linf=Linf,Temp=Temp,tmax=tmax,t50=t50)
 # select just the Hoenig methods
 metaM(Mmethods("Hoenig"),K=K,Linf=Linf,Temp=Temp,tmax=tmax,t50=t50)
  
@@ -155,6 +156,8 @@ Charnov, E.L., H. Gislason, and J.G. Pope. 2013. Evolutionary assembly rules for
 
 Gislason, H., N. Daan, J.C. Rice, and J.G. Pope. 2010. Size, growth, temperature and the natural mortality of marine fish. Fish and Fisheries 11:149-158.
 
+Hamel, O. and J. M. Cope. 2022. Development and considerations for application of a longevity-based prior for the natural mortality rate. Fisheries Research 256:106477 [Was (is? from https://www.researchgate.net/publication/363595336_Development_and_considerations_for_application_of_a_longevity-based_prior_for_the_natural_mortality_rate).]
+
 Hewitt, D.A. and J.M. Hoenig. 2005. Comparison of two approaches for estimating natural mortality based on longevity. Fishery Bulletin. 103:433-437. [Was (is?) from http://fishbull.noaa.gov/1032/hewitt.pdf.]
 
 Hoenig, J.M. 1983. Empirical use of longevity data to estimate mortality rates. Fishery Bulletin. 82:898-903. [Was (is?) from http://www.afsc.noaa.gov/REFM/age/Docs/Hoenig_EmpiricalUseOfLongevityData.pdf.]
@@ -180,7 +183,7 @@ Then, A.Y., J.M. Hoenig, N.G. Hall, and D.A. Hewitt. 2015. Evaluating the predic
 Zhang, C-I and B.A. Megrey. 2006. A revised Alverson and Carney model for estimating the instantaneous rate of natural mortality. Transactions of the American Fisheries Society. 135-620-633. [Was (is?) from http://www.pmel.noaa.gov/foci/publications/2006/zhan0531.pdf.]
 }
 \seealso{
-See \code{\link[fishmethods]{M.empirical}} in \pkg{fishmethods} for similar functionality.
+See \code{\link[fishmethods]{M.empirical}} in \pkg{fishmethods} for similar functionality and the "Natural Mortality Tool" Shiny app on-line.
 }
 \author{
 Derek H. Ogle, \email{DerekOgle51@gmail.com}
diff --git a/man/psdAdd.Rd b/man/psdAdd.Rd
index 4026a71e..a8679890 100644
--- a/man/psdAdd.Rd
+++ b/man/psdAdd.Rd
@@ -11,6 +11,7 @@ psdAdd(len, ...)
 \method{psdAdd}{default}(
   len,
   species,
+  thesaurus = NULL,
   group = NULL,
   units = c("mm", "cm", "in"),
   use.names = TRUE,
@@ -23,6 +24,7 @@ psdAdd(len, ...)
 \method{psdAdd}{formula}(
   len,
   data = NULL,
+  thesaurus = NULL,
   group = NULL,
   units = c("mm", "cm", "in"),
   use.names = TRUE,
@@ -39,6 +41,8 @@ psdAdd(len, ...)
 
 \item{species}{A character or factor vector that contains the species names. Ignored if \code{len} is a formula.}
 
+\item{thesaurus}{A named list for providing alternative species names (the values in the list) that correspond to specific names in \code{PSDlit} (the names in the list). See details and examples.}
+
 \item{group}{A named list that provides specific choices for \code{group} for species for which more than one set of Gabelhouse lengths exists in \code{\link{PSDlit}}.}
 
 \item{units}{A string that indicates the type of units used for the lengths. Choices are \code{mm} for millimeters (DEFAULT), \code{cm} for centimeters, and \code{in} for inches.}
@@ -62,7 +66,9 @@ Creates a vector of the Gabelhouse lengths specific to a species for all individ
 \details{
 This computes a vector that contains the Gabelhouse lengths specific to each species for all individuals in an entire data frame. The vector can be appended to an existing data.frame to create a variable that contains the Gabelhouse lengths for each individual. The Gabelhouse length value will be \code{NA} for each individual for which Gabelhouse length definitions do not exist in \code{\link{PSDlit}}. Species names in the data.frame must be the same as those used in \code{\link{PSDlit}} (i.e., same spelling and capitalization; use \code{psdVal()} to see the list of species).
 
-Some species have Gabelhouse lengths for sub-groups (e.g., \dQuote{lentic} vs \dQuote{lotic}). For these species, choose which sub-group to use with \code{group}.
+The \code{thesaurus} argument may be used to relate alternate species names to the species names used in \code{PSDlit}. For example, you (or your data) may use \dQuote{Bluegill Sunfish}, but \dQuote{Bluegill} is used in \code{PSDlit}. The alternate species name can be used here if it is defined in a named vector (or list) given to \code{thesarus=}. The alternate species name is the value and the species name in \code{PSDlit} is the name in this vector/list - e.g., \code{c("Bluegill"="Bluegill Sunfish")}. See the examples for a demonstration.
+
+Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.#' 
 
 Individuals shorter than \dQuote{stock} length will be listed as \code{substock} if \code{use.names=TRUE} or \code{0} if \code{use.names=FALSE}.
 
@@ -75,63 +81,112 @@ See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_
 }
 
 \examples{
-#===== Create random data for three species
-set.seed(345234534)
-dbg <- data.frame(species=factor(rep(c("Bluegill"),30)),
-                  tl=round(rnorm(30,130,50),0))
-dlb <- data.frame(species=factor(rep(c("Largemouth Bass"),30)),
-                  tl=round(rnorm(30,350,60),0))
-dbt <- data.frame(species=factor(rep(c("Bluefin Tuna"),30)),
-                  tl=round(rnorm(30,1900,300),0))
-df <- rbind(dbg,dlb,dbt)
-
-#===== Simple examples
+#===== Simple examples -- 2 species, no groups, names as in PSDlit
+#----- Isolate simple data from PSDWRtest
+tmp <- subset(PSDWRtest,
+              species \%in\% c("Yellow Perch","Largemouth Bass"),
+              select=c("species","len"))
+peek(tmp,n=6)
+
 #----- Add variable using category names -- non-formula notation
-df$PSD <- psdAdd(df$tl,df$species)
-peek(df,n=6)
+tmp$PSD <- psdAdd(tmp$len,tmp$species)
+peek(tmp,n=6)
 
 #----- Add variable using category names -- formula notation
-df$PSD1 <- psdAdd(tl~species,data=df)
-peek(df,n=6)
+tmp$PSD1 <- psdAdd(len~species,data=tmp)
+peek(tmp,n=6)
 
 #----- Add variable using length values as names
-#      Also turned off messaging of fish not in PSDlit
-df$PSD2 <- psdAdd(tl~species,data=df,use.names=FALSE,verbose=FALSE)
-peek(df,n=6)
+tmp$PSD2 <- psdAdd(len~species,data=tmp,use.names=FALSE)
+peek(tmp,n=6)
 
 #----- Same as above but using dplyr
 if (require(dplyr)) {
-  df <- df \%>\%
-    mutate(PSD1A=psdAdd(tl,species,verbose=FALSE),
-           PSD2A=psdAdd(tl,species,use.names=FALSE,verbose=FALSE))
-  peek(df,n=6)
+  tmp <- tmp \%>\%
+    mutate(PSD1A=psdAdd(len,species),
+           PSD2A=psdAdd(len,species,use.names=FALSE))
+  peek(tmp,n=6)
 }
 
-#===== Adding lengths besides the Gabelhouse lengths
-#----- Add a "minimum length" for Bluegill
-df$PSD3 <- psdAdd(tl~species,data=df,verbose=FALSE,
-                  addLens=list("Bluegill"=c("minLen"=175)))
-df$PSD3A <- psdAdd(tl~species,data=df,verbose=FALSE,
-                   addLens=list("Bluegill"=175))
-df$PSD3B <- psdAdd(tl~species,data=df,verbose=FALSE,
-                   addLens=list("Bluegill"=c("minLen"=175)),use.names=FALSE)
-head(df,n=6)
-
-#----- Add add'l lengths and names for Bluegill and Largemouth Bass
-df$psd4 <- psdAdd(tl~species,data=df,verbose=FALSE,
-                  addLens=list("Bluegill"=175,
-                               "Largemouth Bass"=c(254,356)))
-peek(df,n=20)
-
-#===== Example for a species with sub-groups
-dbt <- data.frame(species=factor(rep(c("Brown Trout"),30)),
-                  tl=round(rnorm(30,230,50),0))
-dlt <- data.frame(species=factor(rep(c("Lake Trout"),30)),
-                  tl=round(rnorm(30,550,60),0))
-df2 <- rbind(dbt,dlt)
-
-df2$psd <- psdAdd(tl~species,data=df2,group=list("Brown Trout"="lentic"))
-peek(df2,n=6)
+#===== Add lengths besides Gabelhouse lengths (start over with same simple data)
+tmp <- subset(PSDWRtest,
+              species \%in\% c("Yellow Perch","Largemouth Bass"),
+              select=c("species","len"))
+
+#----- Add a "minimum length" for one species
+tmp$PSD3 <- psdAdd(len~species,data=tmp,
+                   addLens=list("Yellow Perch"=c("minLen"=225)))
+tmp$PSD3A <- psdAdd(len~species,data=tmp,
+                    addLens=list("Yellow Perch"=225))
+tmp$PSD3B <- psdAdd(len~species,data=tmp,
+                    addLens=list("Yellow Perch"=c("minLen"=225)),use.names=FALSE)
+head(tmp,n=6)
+
+#----- Add add'l lengths and names for multiple species
+tmp$psd4 <- psdAdd(len~species,data=tmp,
+                   addLens=list("Yellow Perch"=175,
+                                "Largemouth Bass"=c(254,306)))
+peek(tmp,n=20)
+
+#===== Handle additional species in PSDlit but named differently
+#----- Isolate different species data from PSDWRtest
+tmp <- subset(PSDWRtest,
+              species \%in\% c("Bluegill Sunfish","Lean Lake Trout"),
+              select=c("species","len"))
+
+#----- No "Bluegill Sunfish" in PSDlit, use thesaurus to note this is "Bluegill"
+#        Note: "Lean Lake Trout" not processed as not in PSDlit
+tmp$psd5 <- psdAdd(len~species,data=tmp,
+                   thesaurus=c("Bluegill"="Bluegill Sunfish"))
+peek(tmp,n=6)
+
+#----- Process multiple species in PSDlit with different names
+#        Note: Can still use addLens=, but with original name
+thes <- c("Bluegill"="Bluegill Sunfish","Lake Trout"="Lean Lake Trout")
+tmp$psd6 <- psdAdd(len~species,data=tmp,thesaurus=thes)
+tmp$psd7 <- psdAdd(len~species,data=tmp,thesaurus=thes,
+                   addLens=list("Bluegill Sunfish"=c("minLen"=175)))
+peek(tmp,n=20)
+
+#===== Example for a species with sub-groups but only one sub-group in data
+#----- Isolate species data from PSDWRtest ... only Brook Trout has sub-group
+tmp <- subset(PSDWRtest,
+              species \%in\% c("Yellow Perch","Brook Trout"),
+              select=c("species","len"))
+
+#----- This will err as Brook Trout has sub-groups in PSDlit (as message notes)
+# tmp$psd8 <- psdAdd(len~species,data=tmp)
+
+#----- Can choose "overall" sub-group with group=
+tmp$psd8 <- psdAdd(len~species,data=tmp,
+                   group=list("Brook Trout"="overall"))
+peek(tmp,n=10)
+
+#----- Or can create species name with sub-group name in parentheses
+#        Note: this is more useful in next examples
+tmp$species2 <- ifelse(tmp$species=="Brook Trout","Brook Trout (overall)",
+                       tmp$species)
+tmp$psd8A <- psdAdd(len~species2,data=tmp) # note use of species2
+peek(tmp,n=10)
+
+#===== Example for species with more than one sub-group in data
+#----- Isolate species data from PSDWRtest ... Brown Trout has two sub-groups
+tmp <- subset(PSDWRtest,
+              species \%in\% c("Yellow Perch","Largemouth Bass","Brown Trout"),
+              select=c("species","len","location"))
+peek(tmp,n=10)
+
+#----- Must create a species name variable with sub-groups in parentheses
+#        Note: there are likely many ways to do this specific to each use-case
+tmp$species2 <- tmp$species
+tmp$species2[tmp$species=="Brown Trout" & 
+             tmp$location=="Trout Lake"] <- "Brown Trout (lotic)"
+tmp$species2[tmp$species=="Brown Trout" & 
+             tmp$location=="Brushy Creek"] <- "Brown Trout (lentic)"
+peek(tmp,n=10)
+
+tmp$psd9 <- psdAdd(len~species2,data=tmp)
+peek(tmp,n=10)
 
 }
 \references{
diff --git a/man/psdCalc.Rd b/man/psdCalc.Rd
index 6c1d4fd9..21416f8f 100644
--- a/man/psdCalc.Rd
+++ b/man/psdCalc.Rd
@@ -74,48 +74,49 @@ See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_
 }
 
 \examples{
-#===== Random length data for Yellow Perch (for example) to the nearest mm
-set.seed(633437)
-yepdf <- data.frame(yepmm=round(c(rnorm(100,mean=125,sd=15),
-                                  rnorm(50,mean=200,sd=25),
-                                  rnorm(20,mean=270,sd=40)),0),
-                    species=rep("Yellow Perch",170))
-                    
 #===== Simple (typical) uses with just Gabelhouse lengths
+tmp <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len"))
+
 #----- All results
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch")
+psdCalc(~len,data=tmp,species="Yellow Perch")
 
 #----- Just the traditional indices
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",what="traditional")
+psdCalc(~len,data=tmp,species="Yellow Perch",what="traditional")
 
 #----- Just the incremental indices
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",what="incremental")
+psdCalc(~len,data=tmp,species="Yellow Perch",what="incremental")
 
 #===== Add a custom length of interest (to the Gabelhouse lengths)
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",addLens=150)
+psdCalc(~len,data=tmp,species="Yellow Perch",addLens=150)
 
 #----- Additional lengths can be named
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",addLens=c("minLen"=150))
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",
+psdCalc(~len,data=tmp,species="Yellow Perch",addLens=c("minLen"=150))
+psdCalc(~len,data=tmp,species="Yellow Perch",
         addLens=c("minLen"=150,"maxslot"=275))
 
 #----- Can return just those results that include the additional lengths
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",
+psdCalc(~len,data=tmp,species="Yellow Perch",
         addLens=c("minSlot"=150,"maxSlot"=275),justAdds=TRUE)
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",
+psdCalc(~len,data=tmp,species="Yellow Perch",
         addLens=c("minSlot"=150,"maxSlot"=275),justAdds=TRUE,what="traditional")
 
 #===== Can show intermediate values (num in category and in stock)
-psdCalc(~yepmm,data=yepdf,species="Yellow Perch",showInterm=TRUE)
+psdCalc(~len,data=tmp,species="Yellow Perch",showInterm=TRUE)
+
+#===== Some species require use of group
+tmp <- subset(PSDWRtest,species=="Brown Trout" & location=="Trout Lake",
+              select=c("species","location","len"))
+peek(tmp,n=6)
 
-#===== Some species require use of group (e.g., treat these as if Brown Trout)
-psdCalc(~yepmm,data=yepdf,species="Brown Trout",group="lotic")
-psdCalc(~yepmm,data=yepdf,species="Brown Trout",group="lentic")
+# will err because Brown Trout has sub-groups in PSDlit
+# psdCalc(~len,data=tmp,species="Brown Trout")
+psdCalc(~len,data=tmp,species="Brown Trout",group="lotic")
+psdCalc(~len,data=tmp,species="Brown Trout (lotic)")
 
 #===== For species not in PSDlit ... don't include species and use addLens
-#      Note that these are same data as above, but treated as different species
-psdCalc(~yepmm,data=yepdf,addLens=c("stock"=130,"quality"=200,"preferred"=250,
-                                    "memorable"=300,"trophy"=380))
+#      Note these are same data as above, but treated as species not in PSDlit
+psdCalc(~len,data=tmp,addLens=c("stock"=130,"quality"=200,"preferred"=250,
+                                "memorable"=300,"trophy"=380))
                                     
 }
 \references{
diff --git a/man/psdVal.Rd b/man/psdVal.Rd
index 1ef6452a..dd6fad11 100644
--- a/man/psdVal.Rd
+++ b/man/psdVal.Rd
@@ -11,7 +11,8 @@ psdVal(
   addLens = NULL,
   addNames = NULL,
   incl.zero = TRUE,
-  showJustSource = FALSE
+  showJustSource = FALSE,
+  dat = NULL
 )
 }
 \arguments{
@@ -28,6 +29,8 @@ psdVal(
 \item{incl.zero}{A logical that indicates if a zero is included in the first position of the returned vector (DEFAULT) or not. This position will be named \dQuote{substock}. See details.}
 
 \item{showJustSource}{A logical that indicates whether just the literature source information should be returned (\code{TRUE}) or not. If \code{TRUE} this will NOT return any of the Gabelhouse length information.}
+
+\item{dat}{Data.frame of Gabelhouse length categories for all species. Defaults to `PSDlit` and is generally not used by the user (this simplifies use of this function in \code{psdAdd}).}
 }
 \value{
 A vector of minimum values for length categories for the chosen species.
@@ -38,6 +41,8 @@ Returns a vector with the five Gabelhouse lengths for a chosen species.
 \details{
 Finds the Gabelhouse lengths from \code{data(PSDlit)} for the species given in \code{species}. The species name must be spelled exactly (including capitalization) as it appears in \code{data(PSDlit)}. Type \code{psdVal()} to see the list of species and how they are spelled.
 
+Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.#' 
+
 A zero is included in the first position of the returned vector if \code{incl.zero=TRUE}. This is useful when computing PSD values with a data.frame that contains fish smaller than the stock length.
 
 Additional lengths may be added to the returned vector with \code{addLens}. Names for these lengths can be included as names in \code{addLens} or separately in \code{addNames}. If \code{addNames} is NULL and \code{addLens} is not named then the default category names will be the lengths from \code{addLens}. The \code{addLens} argument is useful for calculating PSD values that are different from the Gabelhouse lengths.
@@ -59,10 +64,15 @@ psdVal("Bluegill",units="in",incl.zero=FALSE)
 psdVal("Bluegill",showJustSource=TRUE)
 
 #===== For species that have sub-groups
+#-----   using group= argument
 psdVal("Brown Trout",group="lentic")
 psdVal("Brown Trout",group="lotic")
-psdVal("Palmetto Bass",group="revised")
-psdVal("Palmetto Bass",group="original")
+#-----   group combined in species name, so no group= use
+psdVal("Brown Trout (lentic)")
+
+#===== For species with revised values
+psdVal("Palmetto Bass")
+psdVal("Palmetto Bass (original)")
 
 #===== Adding user-defined categories
 #-----   with lengths and names separately in addLens= and addNames=
diff --git a/man/wrAdd.Rd b/man/wrAdd.Rd
index 1eb0dbba..df416899 100644
--- a/man/wrAdd.Rd
+++ b/man/wrAdd.Rd
@@ -8,9 +8,17 @@
 \usage{
 wrAdd(wt, ...)
 
-\method{wrAdd}{default}(wt, len, spec, units = c("metric", "English"), WsOpts = NULL, ...)
-
-\method{wrAdd}{formula}(wt, data, units = c("metric", "English"), ...)
+\method{wrAdd}{default}(
+  wt,
+  len,
+  spec,
+  thesaurus = NULL,
+  units = c("metric", "English"),
+  WsOpts = NULL,
+  ...
+)
+
+\method{wrAdd}{formula}(wt, data, thesaurus = NULL, units = c("metric", "English"), ...)
 }
 \arguments{
 \item{wt}{A numeric vector that contains weight measurements or a formula of the form \code{wt~len+spec} where \dQuote{wt} generically represents the weight variable, \dQuote{len} generically represents the length variable, and \dQuote{spec} generically represents the species variable. Note that this formula can only contain three variables and they must be in the order of weight first, length second, species third.}
@@ -21,6 +29,8 @@ wrAdd(wt, ...)
 
 \item{spec}{A character or factor vector that contains the species names. Not used if \code{wt} is a formula.}
 
+\item{thesaurus}{A named list for providing alternative species names (the values in the list) that correspond to specific names in \code{PSDlit} (the names in the list). See details and examples.}
+
 \item{units}{A string that indicates whether the weight and length data in \code{formula} are in \code{"metric"} (DEFAULT; mm and g) or \code{"English"} (in and lbs) units.}
 
 \item{WsOpts}{A named list that provides specific choices for \code{group}, \code{ref}, or \code{method} for species for which more than one standard weight equation exists in \code{\link{WSlit}}.}
@@ -38,6 +48,10 @@ This computes a vector that contains the relative weight specific to each specie
 
 The species names in \code{species} must match the spelling and capitalization of \code{species} in \code{\link{WSlit}}. Use \code{wsVal()} to see a list of all species for which standard weight equations exist in \code{\link{WSlit}} and, more importantly, how the species names are spelled and capitalized.
 
+The \code{thesaurus} argument may be used to relate alternate species names to the species names used in \code{WSlit}. For example, you (or your data) may use \dQuote{Bluegill Sunfish}, but \dQuote{Bluegill} is used in \code{WSlit}. The alternate species name can be used here if it is defined in a named vector (or list) given to \code{thesarus=}. The alternate species name is the value and the species name in \code{PSDlit} is the name in this vector/list - e.g., \code{c("Bluegill"="Bluegill Sunfish")}. See the examples for a demonstration.
+
+Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} in \code{WsOpts} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.
+
 Some (few) species have more than one equation listed in \code{\link{WSlit}} (for the specified units). In these instances the user must select one of the equations to use with \code{WsOpts}. \code{WsOpts} is a list of lists where the inside list contains one or more of \code{group}, \code{ref}, or \code{method} (see \code{\link{WSlit}}) required to specify a single equation for a particular species, which is the name of the inner list. See the examples for an illustration of how to use \code{WsOpts}.
 
 See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html}{this article} for a demonstration.
@@ -47,51 +61,78 @@ See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_
 }
 
 \examples{
-#===== Create random data for three species
-#----- just to control the randomization
-set.seed(345234534)
-dbt <- data.frame(species=factor(rep(c("Bluefin Tuna"),30)),
-                  tl=round(rnorm(30,1900,300),0))
-dbt$wt <- round(4.5e-05*dbt$tl^2.8+rnorm(30,0,6000),1)
-dbg <- data.frame(species=factor(rep(c("Bluegill"),30)),
-                  tl=round(rnorm(30,130,50),0))
-dbg$wt <- round(4.23e-06*dbg$tl^3.316+rnorm(30,0,10),1)
-dlb <- data.frame(species=factor(rep(c("Largemouth Bass"),30)),
-                  tl=round(rnorm(30,350,60),0))
-dlb$wt <- round(2.96e-06*dlb$tl^3.273+rnorm(30,0,60),1)
-df <- rbind(dbt,dbg,dlb)
-str(df)
-
-#===== Add Wr variable
-#----- using formula interface
-df$Wr1 <- wrAdd(wt~tl+species,data=df)
-
+#===== Simple example with 3 species, 2 in WSlit ... nothing unusual
+tmp <- subset(PSDWRtest,
+              species \%in\% c("Yellow Perch","Iowa Darter","Largemouth Bass"),
+              select=c("species","len","wt"))
+peek(tmp,n=10)
+
+#----- Add Wr variable ... using formula interface
+tmp$wr1 <- wrAdd(wt~len+species,data=tmp)
 #----- same but with non-formula interface
-df$Wr2 <- wrAdd(df$wt,df$tl,df$species)
-
+tmp$wr2 <- wrAdd(tmp$wt,tmp$len,tmp$species)
 #----- same but using dplyr
 if (require(dplyr)) {
-  df <- df \%>\%
-    mutate(Wr3=wrAdd(wt,tl,species))
+  tmp <- tmp \%>\%
+    mutate(wr3=wrAdd(wt,len,species))
 }
-
 #----- examine results
-peek(df,n=10)
- 
-#===== Example with only one species in the data.frame
-bg <- droplevels(subset(df,species=="Bluegill"))
-bg$Wr4 <- wrAdd(wt~tl+species,data=bg)
-bg
-
-#===== Example with a species that has Ws eqns for multiple groups and a
-#      group needs to be specified with WsOpts
-wae <- data.frame(species=factor(rep(c("Walleye"),30)),
-                  tl=round(rnorm(30,500,200),0))
-wae$wt <- round(3.33e-06*wae$tl^3.16+rnorm(30,0,50),1)
-# wae$Wr <- wrAdd(wt~tl+species,data=wae) # will err b/c multiple groups
-wae$Wr <- wrAdd(wt~tl+species,data=wae,
-                WsOpts=list(Walleye=list(group="overall")))
-peek(wae,n=10)
+peek(tmp,n=10)
+
+#===== Simple example with only one species in the data.frame
+tmp <- subset(PSDWRtest,species \%in\% c("Yellow Perch"),
+              select=c("species","len","wt"))
+tmp$wr <- wrAdd(wt~len+species,data=tmp)
+peek(tmp,n=6)
+
+#===== Example of species with sub-groups but only 1 sub-group in data.frame
+#-----   Group not in species name so must specify group with WsOpts
+tmp <- subset(PSDWRtest,species=="Brown Trout" & location=="Trout Lake",
+              select=c("species","len","wt"))
+tmp$wr1 <- wrAdd(wt~len+species,data=tmp,
+                 WsOpts=list("Brown Trout"=list("group"="lotic")))
+
+#-----   Group in species name so don't specify group with WsOpts
+tmp$species2 <- "Brown Trout (lotic)"
+tmp$wr2 <- wrAdd(wt~len+species2,data=tmp)  # note use of species2
+
+peek(tmp,n=6)
+
+#===== Example of species with sub-groups and 2 sub-groups in data.frame
+tmp <- subset(PSDWRtest,species=="Brown Trout",
+              select=c("species","location","len","wt"))
+#-----   Must create "species" with sub-groups in name
+#-----     Many ways to do this, this is just one example for this case
+tmp$species2 <- ifelse(tmp$location=="Trout Lake",
+                       "Brown Trout (lotic)","Brown Trout (lentic)")
+tmp$wr <- wrAdd(wt~len+species2,data=tmp)  # note use of species2
+peek(tmp,n=6)
+
+#===== Example of a species name that needs the thesaurus
+tmp <- subset(PSDWRtest,species \%in\% c("Yellow Perch","Bluegill Sunfish"),
+              select=c("species","len","wt"))
+#-----  Below will not add wr for "Bluegill Sunfish" as not in WsLit ("Bluegill" is)
+tmp$wr1 <- wrAdd(wt~len+species,data=tmp)
+#-----  Use thesaurus to identify "Bluegill Sunfish" as "Blueill
+tmp$wr2 <- wrAdd(wt~len+species,data=tmp,thesaurus=c("Bluegill"="Bluegill Sunfish"))
+peek(tmp,n=10)
+
+#===== Example of species that has Ws eqns for multiple reference values
+tmp <- subset(PSDWRtest,species=="Ruffe",select=c("species","len","wt"))
+#-----  Below will err as Ruffe has Ws eqns for multiple reference values
+# tmp$wr <- wrAdd(wt~len+species,data=tmp)
+#-----  Must choose which eqn to use with WsOpts
+tmp$wr <- wrAdd(wt~len+species,data=tmp,
+                WsOpts=list(Ruffe=list(ref=75)))
+peek(tmp,n=6)
+
+#===== Example with two uses of WsOpts (and one species without)
+tmp <- subset(PSDWRtest,species \%in\% c("Ruffe","Muskellunge","Iowa Darter"),
+              select=c("species","len","wt"))
+tmp$wr <- wrAdd(wt~len+species,data=tmp,
+                WsOpts=list(Muskellunge=list(group="overall"),
+                            Ruffe=list(ref=75)))
+peek(tmp,n=10)
 
 }
 \references{
diff --git a/man/wsVal.Rd b/man/wsVal.Rd
index 7b3db782..70fd1966 100644
--- a/man/wsVal.Rd
+++ b/man/wsVal.Rd
@@ -10,7 +10,8 @@ wsVal(
   units = c("metric", "English"),
   ref = NULL,
   method = NULL,
-  simplify = FALSE
+  simplify = FALSE,
+  dat = NULL
 )
 }
 \arguments{
@@ -25,6 +26,8 @@ wsVal(
 \item{method}{A string that indicates which equation-derivation method should be used (one of \code{"RLP"}, \code{"EmP"}, or \code{"Other"}). Defaults to \code{NULL} which will result in the only method available being returned or an error asking the user to choose a method for equations for which more than one method is available (which is the case for very few species).}
 
 \item{simplify}{A logical that indicates whether the \sQuote{units}, \sQuote{ref}, \sQuote{measure}, \sQuote{method}, \sQuote{comments}, and \sQuote{source} fields should be included (\code{=FALSE}) or not (\code{=TRUE}; DEFAULT). See details.}
+
+\item{dat}{Data.frame of Gabelhouse length categories for all species. Defaults to `WSlit` and is generally not used by the user (this simplifies use of this function in \code{wrAdd}).}
 }
 \value{
 A one row data frame from \code{\link{WSlit}} that contains all known information about the standard weight equation for a given species, type of measurement units, and reference percentile if \code{simplify=FALSE}. If \code{simplify=TRUE} then only the species; minimum and maximum length for which the standard equation should be applied; and intercept, slope, and quadratic  coefficients for the standard weight equation. Note that the maximum length and the quadratic coefficient will not be returned if they do not exist in \code{\link{WSlit}} for the species.
@@ -43,6 +46,8 @@ See \code{\link{WSlit}} for more information about the meaning of each value ret
 
 Note from above that the coefficients are returned for the TRANSFORMED model. Thus, to obtain the standard weight (Ws), the returned coefficients are used to compute the common log of Ws which must then be raised to the power of 10 to compute the Ws.
 
+Some species have length categories separated by sub-group. For example, length categories exist for both lentic and lotic populations of Brown Trout. The length values for a sub-group may be obtained by either including the species name in \code{species} and the sub-group name in \code{group} or by using the combined species and sub-group name, with the sub-group name in parentheses, in \code{species}. Both methods are demonstrated in the examples. Note that an error is returned if a species has sub-groups but neither method is used to define the sub-group.
+
 See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html}{this article} for a demonstration.
 }
 \section{IFAR Chapter}{
@@ -53,49 +58,51 @@ See examples and \href{https://fishr-core-team.github.io/FSA/articles/Computing_
 #===== List all available Ws equations
 wsVal()
 
-#===== Find equations for Bluegill, in different formats
-wsVal("Bluegill")
-wsVal("Bluegill",units="metric")
-wsVal("Bluegill",units="English")
-wsVal("Bluegill",units="English",simplify=TRUE)
-
-#===== Find equation for Cutthroat Trout, demonstrating use of group
-wsVal("Cutthroat Trout",group="lotic")
-wsVal("Cutthroat Trout",group="lentic")
+#===== Find equations for Yellow Perch, in different formats
+wsVal("Yellow Perch")
+wsVal("Yellow Perch",units="metric")   # same as default
+wsVal("Yellow Perch",units="English")
+wsVal("Yellow Perch",units="English",simplify=TRUE)
 
 #===== Find equation for Ruffe, demonstrating quadratic formula
 wsVal("Ruffe",units="metric",ref=75,simplify=TRUE)
 wsVal("Ruffe",units="metric",ref=50,simplify=TRUE)
 
+#===== Find equation for Brown Trout, which has equations for sub-groups
+#-----   demonstrating use of group= argument
+wsVal("Brown Trout",group="lotic")
+wsVal("Brown Trout",group="lentic")
+#-----   demonstrating group combined in species name, so no group= arg
+wsVal("Brown Trout (lotic)")
+wsVal("Brown Trout (lentic)")
+
 #===== Add Ws & Wr values to a data frame (for one species) ... also see wrAdd()
-#----- Get Ws equation info
-wsBG <- wsVal("Bluegill",units="metric")
-wsBG
+#----- Example data from PSDWRtest, simplify variables for this example
+yepdf <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len","wt"))
+str(yepdf)
 
-#----- Get example data
-data(BluegillLM,package="FSAdata")
-str(BluegillLM)
+#----- Get Ws equation info
+( wsYEP <- wsVal("Yellow Perch",units="metric") )
 
-#----- Add Ws (eqn is on log10-log10 scale ... so log10 len, 10^ result)
-BluegillLM$ws <- 10^(wsBG[["int"]]+wsBG[["slope"]]*log10(BluegillLM$tl))
+#----- Add Ws (eqn is on log10-log10 scale ... so log10 length, 10^ result)
+yepdf$ws <- 10^(wsYEP[["int"]]+wsYEP[["slope"]]*log10(yepdf$len))
 
 #----- Change Ws for fish less than min.TL to NA
-BluegillLM$ws[BluegillLM$tl<wsBG[["min.TL"]]] <- NA
+yepdf$ws[yepdf$len<wsYEP[["min.TL"]]] <- NA
 
 #----- Add Wr
-BluegillLM$wr <- BluegillLM$wght/BluegillLM$ws*100
+yepdf$wr <- yepdf$wt/yepdf$ws*100
 
 #----- Examine results
-peek(BluegillLM,n=6)
+peek(yepdf,n=6)
 
 #----- Same as above but using dplyr
-data(BluegillLM,package="FSAdata")   # reset to original for this example
 if (require(dplyr)) {
-  BluegillLM <- BluegillLM \%>\%
-    mutate(ws=10^(wsBG[["int"]]+wsBG[["slope"]]*log10(tl)),
-           ws=ifelse(tl<wsBG[["min.TL"]],NA,ws),
-           wr=wght/ws*100)
-  peek(BluegillLM,n=6)
+  yepdf <- PSDWRtest \%>\% filter(species=="Yellow Perch") \%>\% select(species,len,wt) \%>\%
+    mutate(ws=10^(wsYEP[["int"]]+wsYEP[["slope"]]*log10(len)),
+           ws=ifelse(len<wsYEP[["min.TL"]],NA,ws),
+           wr=wt/ws*100)
+  peek(yepdf,n=6)
 }
 
 }
diff --git a/tests/testthat/testthat_PSD.R b/tests/testthat/testthat_PSD.R
index 42f0d21f..4bc01642 100644
--- a/tests/testthat/testthat_PSD.R
+++ b/tests/testthat/testthat_PSD.R
@@ -1,280 +1,295 @@
-## Data for tests
-set.seed(56768)
-df <- data.frame(tl=round(c(rnorm(100,mean=125,sd=15),
-                            rnorm(50,mean=200,sd=25),
-                            rnorm(20,mean=300,sd=40)),0),
-                 species=factor(rep("Yellow Perch",170)))
-
-set.seed(345234534)
-dbt <- data.frame(species=factor(rep(c("Bluefin Tuna"),30)),
-                  tl=round(rnorm(30,1900,300),0))
-dbt$wt <- round(4.5e-05*dbt$tl^2.8+rnorm(30,0,6000),1)
-dbg <- data.frame(species=factor(rep(c("Bluegill"),30)),
-                  tl=round(rnorm(30,130,50),0))
-dbg$wt <- round(4.23e-06*dbg$tl^3.316+rnorm(30,0,10),1)
-dlb <- data.frame(species=factor(rep(c("Largemouth Bass"),30)),
-                  tl=round(rnorm(30,350,60),0))
-dlb$wt <- round(2.96e-06*dlb$tl^3.273+rnorm(30,0,60),1)
-df <- rbind(dbt,dbg,dlb)
-
-# read in external CSV file
-ftmp <- system.file("extdata", "PSDWR_testdata.csv", package="FSA")
+## Preparation
+#===== Read in external CSV file for validation (near end)
+ftmp <- system.file("extdata", "PSDWR_data4testthat.csv", package="FSA")
 df2 <- read.csv(ftmp)
-df2$species <- factor(df2$species)
-df2$spec_code <- factor(df2$spec_code)
-df2$GCATN <- factor(df2$GCATN,levels=c("substock","stock","quality","preferred",
-                                       "memorable","trophy"))
-df2bg <- droplevels(subset(df2,species=="Bluegill"))
-df2lmb <- droplevels(subset(df2,species=="Largemouth Bass"))
-
+df2$psd <- factor(df2$psd,levels=c("substock","stock","quality","preferred",
+                                   "memorable","trophy"))
+thes <- c("Bluegill"="Bluegill Sunfish","Lake Trout"="Lean Lake Trout")
 
 ## Test Messages ----
 test_that("psdVal() messages",{
-  ## bad species name
+  #===== bad species name
   expect_error(psdVal("Derek"),
                "There are no Gablehouse lengths in 'PSDlit'")
   expect_error(psdVal("bluegill"),
                "There are no Gablehouse lengths in 'PSDlit'")
-  ## too many species name
+
+  #===== too many species name
   expect_error(psdVal(c("Bluegill","Yellow Perch")),
                "can have only one name")
-  ## needed and bad group=
+  
+  #===== needed and bad group=
   expect_error(psdVal("Brown Trout"),
                "\"Brown Trout\" has Gabelhouse categories for these")
   expect_error(psdVal("Brown Trout",group="Derek"),
                "There is no \"Derek\" group for \"Brown Trout\"")
-  ## bad units
+  expect_error(psdVal("Brown Trout (Lotic)"),
+               "There are no Gablehouse lengths in \'PSDlit\'")
+  
+  #===== bad units
   expect_error(psdVal("Bluegill",units="inches"),
                "should be one of")
-  ## addLens and addNames don't match up
+  
+  #===== addLens and addNames don't match up
   expect_error(psdVal("Bluegill",addLens=7,addNames=c("Derek","Ogle")),
-               "have different lengths")
+               "\'addLens\' and \'addNames\' have different lengths")
   expect_error(psdVal("Bluegill",addLens=c(7,9),addNames="Derek"),
-               "have different lengths")
-  ## and addLens is also a Gabelhouse length
+               "\'addLens\' and \'addNames\' have different lengths")
+  
+  #===== and addLens is also a Gabelhouse length
   expect_warning(psdVal("Bluegill",addLens=150),
                  "The following Gabelhouse length categories were removed")
 })
 
-test_that("psdCI() messages",{
-  ## problems with proportions table
-  # not obviously a proportions table
-  #  expect_warning(psdCI(c(1,0,0,0),c(0.5,0.3,0.2,10),11))
-  #  expect_warning(psdCI(c(1,0,0,0),c(5,3,2,10),20))
-  # looks like proportions, but doesn't sum to 1
-  expect_error(psdCI(c(1,0,0,0),c(0.5,0.3,0.1,0.08),20),
-               "does not sum to 1")
-  expect_error(psdCI(c(1,0,0,0),c(0.5,0.3,0.2,0.08),20),
-               "does not sum to 1")
-  # small n for table using multinomial distribution
-  expect_warning(psdCI(c(0,0,0,1),c(0.5,0.3,0.1,0.1),20,method="multinomial"),
-                 "CI coverage may be lower than 95%")
+test_that("psdAdd() messages",{
+  #===== Get some data for multiple species
+  df <- subset(PSDWRtest,
+               species %in% c("Yellow Perch","Iowa Darter",
+                              "Bluegill Sunfish","Brown Trout"),
+               select=c("species","len","wt"))
   
-  ## problems with indicator vector
-  ipsd <- c(0.130,0.491,0.253,0.123)
-  n <- 445
-  # all zeros
-  expect_error(psdCI(c(0,0,0,0),ipsd,n),
-               "cannot be all zeros")
-  # all ones
-  expect_error(psdCI(c(1,1,1,1),ipsd,n),
-               "cannot be all ones")
-  # wrong length of indvec
-  expect_error(psdCI(c(1,0,0),ipsd,n),
-               "must be the same")
-  expect_error(psdCI(c(1,0,0,0,0),ipsd,n),
-               "must be the same")
+  #===== bad variable types
+  expect_error(psdAdd(species~len,df),
+               "Variable on left-hand-side of \'len\' is not numeric")
+  expect_error(psdAdd(len~wt,df),
+               "\'len\' must have one and only one factor")
+  expect_error(psdAdd(df$species,df$len),
+               "\'len\' must be numeric")
+  expect_error(psdAdd(df$len,df$wt),
+               "\'species\' must be character or factor")
   
-  ## ptbl not proportions
-  ipsd <- c(5,4,3,3)
-  n <- 300
-  expect_warning(psdCI(c(1,0,0,0),ipsd,n),
-                 "not a table of proportions")
+  #===== bad formulae
+  expect_error(psdAdd(~len,df),
+               "\'len\' must have one variable on the left-hand-side")
+  expect_error(psdAdd(~species,df),
+               "\'len\' must have one variable on the left-hand-side")
+  expect_error(psdAdd(len~wt+species,df),
+               "\'len\' must have one variable on the left-hand-side")
   
-  # bad args in conf.level
-  ipsd <- c(0.130,0.491,0.253,0.123)
-  n <- 445
-  expect_error(psdCI(c(0,0,1,1),ipsd,n=n,conf.level=0),
-               "must be between 0 and 1")
-  expect_error(psdCI(c(0,0,1,1),ipsd,n=n,conf.level=1),
-               "must be between 0 and 1")
-  expect_error(psdCI(c(0,0,1,1),ipsd,n=n,conf.level="R"),
-               "must be numeric")
+  #===== Sub-group and thesaurus issues (and messages about no lengths)
+  psdAdd(len~species,data=df) %>%
+    expect_message("Species in the data with no Gabelhouse") %>%
+    expect_error("\"Brown Trout\" has Gabelhouse categories for these")
+  tmp <- psdAdd(len~species,data=df,group=list("Brown Trout"="lotic")) %>%
+    expect_message("Species in the data with no Gabelhouse")
+  tmp <- psdAdd(len~species,data=df,group=list("Brown Trout"="lotic"),
+                thesaurus=c("bluegill"="Bluegill Sunfish")) %>%
+    expect_message("The following species names were in \'thesaurus\'") %>%
+    expect_message("Species in the data with no Gabelhouse")
+  psdAdd(len~species,data=df,group=list("Brown Trout"="lotic"),
+         thesaurus=c("Bluegill Sunfish")) %>%
+    expect_error("Values in \'thesaurus\' must be named")
+  psdAdd(len~species,data=df,group=list("Brown Trout"="lotic"),
+         thesaurus=c("Bluegill"=7)) %>%
+    expect_error("Values in \'thesaurus\' must be strings")
+  psdAdd(len~species,data=df,group=list("Brown Trout"="lotic"),
+         thesaurus=c("Bluegill"=factor("Bluegill Sunfish"))) %>%
+    expect_error("\'thesaurus\' must be either a vector or list")
+  tmp <- psdAdd(len~species,data=df,group=list("Brown Trout"="lotic"),
+                thesaurus=c("Bluegill"="Bluegill Sunfish")) %>%
+    expect_message("Species in the data with no Gabelhouse") %>%
+    expect_no_error()
   
+  #===== bad units
+  expect_error(psdAdd(len~species,df,units="inches"),
+               "should be one of")
+  expect_error(psdAdd(df$len,df$species,units="inches"),
+               "should be one of")
   
+  #===== One species had all missing lengths
+  tmp <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len"))
+  tmp$len <- NA_real_
+  expect_message(psdAdd(len~species,tmp),
+                 "All values in \'len\' were missing for Yellow Perch")
 })
 
 test_that("psdCalc() messages",{
-  ## species name does not exist in PSDlit
-  expect_error(psdCalc(~tl,data=df,species="Slimy Sculpin"),
+  #===== Get some data for one species
+  df <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len"))
+  #===== get Gabelhouse lengths for Yellow Perch
+  ghl <- psdVal("Yellow Perch")
+  
+  #===== species name does not exist in PSDlit
+  expect_error(psdCalc(~len,data=df,species="Slimy Sculpin"),
                "There are no Gablehouse lengths in 'PSDlit'")
-  expect_error(psdCalc(~tl,data=df,species="Yellow perch"),
+  expect_error(psdCalc(~len,data=df,species="Yellow perch"),
                "There are no Gablehouse lengths in 'PSDlit'")
-  ## needed and bad group=
-  expect_error(psdCalc(~tl,data=df,species="Brown Trout"),
+
+  #===== needed and bad group=
+  expect_error(psdCalc(~len,data=df,species="Brown Trout"),
                "\"Brown Trout\" has Gabelhouse categories for these")
-  expect_error(psdCalc(~tl,data=df,species="Brown Trout",group="Derek"),
+  expect_error(psdCalc(~len,data=df,species="Brown Trout",group="Derek"),
                "There is no \"Derek\" group for \"Brown Trout\"")
-  expect_no_failure(psdCalc(~tl,data=df,species="Brown Trout",group="lotic"))  %>%
-    suppressWarnings()
+  expect_error(psdCalc(~len,data=df,species="Brown Trout (Lotic)"),
+               "There are no Gablehouse lengths in 'PSDlit'")
+  psdCalc(~len,data=df,species="Brown Trout",group="lotic") %>%
+    expect_warning("some CI coverage may be lower") %>%
+    expect_no_failure()
   
-  ## get Gabelhouse lengths for Yellow Perch
-  ghl <- psdVal("Yellow Perch")
-  ## restrict data.frame to no fish
-  tmp <- subset(df,tl<ghl["substock"])
-  expect_error(psdCalc(~tl,data=tmp,species="Yellow Perch"),
-               "does not contain any rows")
-  ## restrict data.frame to sub-stock-length fish
-  tmp <- subset(df,tl<ghl["stock"])
+  #===== data.frame issues
+  #-----  restrict data.frame to no fish
+  tmp <- subset(df,len<ghl["substock"])
   expect_error(psdCalc(~tl,data=tmp,species="Yellow Perch"),
-               "no stock-length fish in the sample")
-  ## restrict data.frame to no >=quality fish
-  tmp <- subset(df,tl<ghl["quality"])
-  psdCalc(~tl,data=tmp,species="Yellow Perch") %>%
-    expect_warning("No fish in larger than 'stock' categories") %>%
-    suppressWarnings()
-  
-  ## bad formulae
-  expect_error(psdCalc(tl,data=df,species="Yellow Perch"),
-               "not found")
-  expect_error(psdCalc(tl~species,data=df,species="Yellow Perch"),
+               "\'data\' does not contain any rows")
+  #-----  restrict data.frame to sub-stock-length fish
+  tmp <- subset(df,len<ghl["stock"])
+  expect_error(psdCalc(~len,data=tmp,species="Yellow Perch"),
+               "There are no stock-length fish in the sample")
+  #-----  restrict data.frame to no >=quality fish
+  tmp <- subset(df,len<ghl["quality"])
+  expect_warning(psdCalc(~len,data=tmp,species="Yellow Perch"),
+                 "No fish in larger than 'stock' categories")
+  
+  #===== bad formulae
+  expect_error(psdCalc(len,data=df,species="Yellow Perch"),
+               "object \'len\' not found")
+  expect_error(psdCalc(len~species,data=df,species="Yellow Perch"),
                "Function only works with formulas with 1 variable")
-  expect_error(psdCalc(~tl+species,data=df,species="Yellow Perch"),
+  expect_error(psdCalc(~len+species,data=df,species="Yellow Perch"),
                "Function only works with formulas with 1 variable")
   expect_error(psdCalc(~species,data=df,species="Yellow Perch"),
-               "must be numeric")
-  
-  # testing confidence intervals
-  expect_error(psdCalc(~tl,data=tmp,species="Yellow Perch",conf.level=0),
-               "must be between 0 and 1")
-  expect_error(psdCalc(~tl,data=tmp,species="Yellow Perch",conf.level=1),
-               "must be between 0 and 1")
-  expect_error(psdCalc(~tl,data=tmp,species="Yellow Perch",conf.level="R"),
-               "must be numeric")
-
-  # Testing when species name not given
-  ## no species name given or addLens given
-  expect_error(psdCalc(~tl,data=tmp),
+               "Variable in \'formula\' must be numeric")
+  
+  #===== testing confidence intervals
+  expect_error(psdCalc(~len,data=df,species="Yellow Perch",conf.level=0),
+               "\'conf.level\' must be between 0 and 1")
+  expect_error(psdCalc(~len,data=df,species="Yellow Perch",conf.level=1),
+               "\'conf.level\' must be between 0 and 1")
+  expect_error(psdCalc(~len,data=df,species="Yellow Perch",conf.level="R"),
+               "\'conf.level\' must be numeric")
+
+  #===== Testing when species name not given
+  #-----  no species name given or addLens given
+  expect_error(psdCalc(~len,data=df),
                "Must include name in 'species' or lengths in 'addLens'")
-  ## addLens must have at least two values
-  expect_error(psdCalc(~tl,data=tmp,addLens=c("stock"=100)),
+  #-----  addLens must have at least two values
+  expect_error(psdCalc(~len,data=df,addLens=c("stock"=100)),
                "'addLens' must contain at least two length categories")
-  ## addLens must have at least a stock and quality length
-  expect_error(psdCalc(~tl,data=tmp,addLens=c("preferred"=100,"quality"=200)),
+  #-----  addLens must have at least a stock and quality length
+  expect_error(psdCalc(~len,data=df,addLens=c("preferred"=100,"quality"=200)),
                "First category name must be 'stock'")
-  expect_error(psdCalc(~tl,data=tmp,addLens=c("Stock"=100,"quality"=200)),
+  expect_error(psdCalc(~len,data=df,addLens=c("Stock"=100,"quality"=200)),
                "First category name must be 'stock'")
-  expect_error(psdCalc(~tl,data=tmp,addLens=c(100,200),addNames=c("Stock","quality")),
+  expect_error(psdCalc(~len,data=df,addLens=c(100,200),addNames=c("Stock","quality")),
                "First category name must be 'stock'")
-  ## No names given
-  expect_error(psdCalc(~tl,data=tmp,addLens=c(100,200,250)),
+  #-----  No names given
+  expect_error(psdCalc(~len,data=df,addLens=c(100,200,250)),
                "Category names must be defined in 'addLens'")
-  ## lengths of addLens and addNames do not match
-  expect_error(psdCalc(~tl,data=tmp,addLens=c(100,200),addNames=c("name1")),
+  #-----  lengths of addLens and addNames do not match
+  expect_error(psdCalc(~len,data=df,addLens=c(100,200),addNames=c("name1")),
                "'addLens' and 'addNames' cannot be different lengths")
-  expect_error(psdCalc(~tl,data=tmp,addLens=c(100,200),
+  expect_error(psdCalc(~len,data=df,addLens=c(100,200),
                        addNames=c("name1","name2","name3")),
                "'addLens' and 'addNames' cannot be different lengths")
 })
 
+test_that("psdCI() messages",{
+  #===== problems with proportions table
+  #-----  not obviously a proportions table
+  psdCI(c(1,0,0,0),c(0.5,0.3,0.2,10),11) %>%
+    expect_warning("\'ptbl\' not a table of proportions") %>%
+    expect_error("\'x\' must be whole numbers")
+  expect_warning(psdCI(c(1,0,0,0),c(5,3,2,10),20),
+                 "\'ptbl\' not a table of proportions")
+  expect_warning(psdCI(c(1,0,0,0),c(5,4,3,3),300),
+                 "\'ptbl\' not a table of proportions")
+  #-----  looks like proportions, but doesn't sum to 1
+  expect_error(psdCI(c(1,0,0,0),c(0.5,0.3,0.1,0.08),20),
+               "\'ptbl\' does not sum to 1")
+  expect_error(psdCI(c(1,0,0,0),c(0.5,0.3,0.2,0.08),20),
+               "\'ptbl\' does not sum to 1")
+  #-----  small n for table using multinomial distribution
+  expect_warning(psdCI(c(0,0,0,1),c(0.5,0.3,0.1,0.1),20,method="multinomial"),
+                 "CI coverage may be lower than")
+  
+  #===== problems with indicator vector
+  ipsd <- c(0.130,0.491,0.253,0.123)
+  n <- 445
+  
+  #-----  all zeros
+  expect_error(psdCI(c(0,0,0,0),ipsd,n),
+               "\'indvec\' cannot be all zeros")
+  #-----  all ones
+  expect_error(psdCI(c(1,1,1,1),ipsd,n),
+               "\'indvec\' cannot be all ones")
+  #-----  wrong length of indvec
+  expect_error(psdCI(c(1,0,0),ipsd,n),
+               "Length of \'ptbl\' and \'indvec\' must be the same")
+  expect_error(psdCI(c(1,0,0,0,0),ipsd,n),
+               "Length of \'ptbl\' and \'indvec\' must be the same")
+  
+  #===== bad args in conf.level
+  expect_error(psdCI(c(0,0,1,1),ipsd,n=n,conf.level=0),
+               "\'conf.level\' must be between 0 and 1")
+  expect_error(psdCI(c(0,0,1,1),ipsd,n=n,conf.level=1),
+               "\'conf.level\' must be between 0 and 1")
+  expect_error(psdCI(c(0,0,1,1),ipsd,n=n,conf.level="R"),
+               "\'conf.level\' must be numeric")
+})
+
 test_that("psdPlot() messages",{
-  ## get Gabelhouse lengths for Yellow Perch
+  #===== Get some data for one species
+  df <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len"))
+  #===== get Gabelhouse lengths for Yellow Perch
   ghl <- psdVal("Yellow Perch")
-  
-  ## restrict data.frame to no fish
-  tmp <- subset(df,tl<ghl["substock"])
-  expect_error(psdPlot(~tl,data=tmp,species="Yellow Perch"),
-               "does not contain any rows")
-  ## restrict data.frame to no >=quality fish
-  tmp <- subset(df,tl<ghl["quality"])
-  ## set minimum length higher than stock length
-  expect_error(psdPlot(~tl,data=df,species="Yellow Perch",
+
+  #===== data.frame issue ... restrict data.frame to no fish
+  tmp <- subset(df,len<ghl["substock"])
+  expect_error(psdPlot(~len,data=tmp,species="Yellow Perch"),
+               "\'data\' does not contain any rows")
+
+  #===== set minimum length higher than stock length
+  expect_error(psdPlot(~len,data=df,species="Yellow Perch",
                        xlim=c(ghl["stock"]+10,300)),
-               "Minimum length value in")
+               "Minimum length value in \'xlim\' is greater than")
   
-  ## bad formulae
-  expect_error(psdPlot(tl,data=df,species="Yellow Perch"),
-               "not found")
-  expect_error(psdPlot(tl~species,data=df,species="Yellow Perch"),
+  #===== bad formulae
+  expect_error(psdPlot(len,data=df,species="Yellow Perch"),
+               "object \'len\' not found")
+  expect_error(psdPlot(len~species,data=df,species="Yellow Perch"),
                "Function only works with formulas with 1 variable.")
-  expect_error(psdPlot(~tl+species,data=df,species="Yellow Perch"),
+  expect_error(psdPlot(~len+species,data=df,species="Yellow Perch"),
                "Function only works with formulas with 1 variable.")
   expect_error(psdPlot(~species,data=df,species="Yellow Perch"),
-               "must be numeric")
+               "Variable in \'formula\' must be numeric")
 })
 
-test_that("psdAdd() messages",{
-  ## bad units
-  expect_error(psdAdd(tl~species,df,units="inches"),
-               "should be one of")
-  expect_error(psdAdd(df$tl,df$species,units="inches"),
-               "should be one of")
-  
-  ## bad formulae
-  expect_error(psdAdd(~tl,df),
-               "one variable")
-  expect_error(psdAdd(~species,df),
-               "one variable")
-  expect_error(psdAdd(tl~wt+species,df),
-               "one variable")
-  
-  ## bad variable types
-  expect_error(psdAdd(species~tl,df),
-               "not numeric")
-  expect_error(psdAdd(tl~wt,df),
-               "only one factor")
-  expect_error(psdAdd(df$species,df$tl),
-               "numeric")
-  expect_error(psdAdd(df$tl,df$wt),
-               "factor")
-  
-  ## Bad species
-  tmp <- df[df$species=="Bluefin Tuna",]
-  expect_message(psdAdd(tl~species,data=tmp),
-                 "Species in the data with no Gabelhouse")
-  
-  ## One species had all missing lengths
-  tmp <- df
-  tmp[df$species=="Bluegill","tl"] <- NA
-  tmp <- tmp[tmp$species!="Bluefin Tuna",]
-  expect_message(psdAdd(tl~species,tmp),
-                 "were missing for")
-})
-
-test_that("tictactoe() errors and warnings",{
-  ## objective values do not contain 2 values
+test_that("tictactoe() messages",{
+  #===== objective values do not contain 2 values
   expect_error(tictactoe(predobj=70),
-               "must contain two numbers")
+               "Predator target objective must contain two numbers")
   expect_error(tictactoe(predobj=71:75),
-               "must contain two numbers")
+               "Predator target objective must contain two numbers")
+  expect_error(tictactoe(preyobj=70),
+               "Prey target objective must contain two numbers")
+  expect_error(tictactoe(preyobj=71:75),
+               "Prey target objective must contain two numbers")
+  
+  #===== Objective values contain wrong type of values
   expect_error(tictactoe(predobj=NULL),
-               "must be numeric")
+               "Predator target objectives must be numeric")
   expect_error(tictactoe(predobj=NA),
-               "must be numeric")
+               "Predator target objectives must be numeric")
+  expect_error(tictactoe(predobj=c("A","B")),
+               "Predator target objectives must be numeric")
   expect_error(tictactoe(predobj=c(-5,70)),
-               "must be between 0 and 100")
+               "Predator target objectives must be between 0 and 100")
   expect_error(tictactoe(predobj=c(70,105)),
-               "must be between 0 and 100")
+               "Predator target objectives must be between 0 and 100")
   expect_error(tictactoe(predobj=c(-5,105)),
-               "must be between 0 and 100")
-  expect_error(tictactoe(predobj=c("A","B")),
-               "must be numeric")
-  expect_error(tictactoe(preyobj=70),
-               "must contain two numbers")
-  expect_error(tictactoe(preyobj=71:75),
-               "must contain two numbers")
+               "Predator target objectives must be between 0 and 100")
   expect_error(tictactoe(preyobj=NULL),
-               "must be numeric")
+               "Prey target objectives must be numeric")
   expect_error(tictactoe(preyobj=NA),
-               "must be numeric")
+               "Prey target objectives must be numeric")
+  expect_error(tictactoe(preyobj=c("A","B")),
+               "Prey target objectives must be numeric")
   expect_error(tictactoe(preyobj=c(-5,70)),
-               "must be between 0 and 100")
+               "Prey target objectives must be between 0 and 100")
   expect_error(tictactoe(preyobj=c(70,105)),
-               "must be between 0 and 100")
+               "Prey target objectives must be between 0 and 100")
   expect_error(tictactoe(preyobj=c(-5,105)),
-               "must be between 0 and 100")
-  expect_error(tictactoe(preyobj=c("A","B")),
-               "must be numeric")
+               "Prey target objectives must be between 0 and 100")
 })
 
 
@@ -315,80 +330,44 @@ test_that("psdVal() returns",{
   expect_equal(nrow(tmp),1)
 })
 
-test_that("psdCI() returns",{
-  n <- 997
-  ipsd <- c(130,491,253,123)/n
-  ## single binomial
-  tmp <- psdCI(c(0,0,1,1),ipsd,n=n)
-  expect_equal(class(tmp),c("matrix","array"))
-  expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),1)
-  expect_equal(ncol(tmp),3)
-  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  tmp <- psdCI(c(1,0,0,0),ipsd,n=n,label="PSD S-Q")
-  expect_equal(class(tmp),c("matrix","array"))
-  expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),1)
-  expect_equal(ncol(tmp),3)
-  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  expect_equal(rownames(tmp),"PSD S-Q")
-  ## single multinomial
-  tmp <- psdCI(c(0,0,1,1),ipsd,n=n,method="multinomial")
-  expect_equal(class(tmp),c("matrix","array"))
-  expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),1)
-  expect_equal(ncol(tmp),3)
-  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  tmp <- psdCI(c(1,0,0,0),ipsd,n=n,method="multinomial",label="PSD S-Q")
-  expect_equal(class(tmp),c("matrix","array"))
-  expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),1)
-  expect_equal(ncol(tmp),3)
-  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  expect_equal(rownames(tmp),"PSD S-Q")
-  ## Adjustment for not proportions
-  ipsd <- c(130,491,253,123)
-  n <- sum(ipsd)
-  ipsd2 <- ipsd/n
-  tmp <- suppressWarnings(psdCI(c(0,0,1,1),ipsd,n=n))
-  tmp2 <- psdCI(c(0,0,1,1),ipsd2,n=n)
-  expect_equal(tmp,tmp2)
-  tmp <- suppressWarnings(psdCI(c(0,0,1,1),ipsd,n=n,method="multinomial"))
-  tmp2 <- psdCI(c(0,0,1,1),ipsd2,n=n,method="multinomial")
-  expect_equal(tmp,tmp2)
-  ## Adjustment for a PSD of 0 or 1
-  ipsd <- c(1,0,0,0)
-  n <- 455
-  tmp <- psdCI(c(1,1,0,0),ipsd,n=n)
-  expect_equal(tmp,matrix(c(100,NA,NA),nrow=1),ignore_attr=TRUE)
-  ipsd <- c(0,0,0,1)
-  n <- 455
-  tmp <- psdCI(c(1,1,0,0),ipsd,n=n)
-  expect_equal(tmp,matrix(c(0,NA,NA),nrow=1),ignore_attr=TRUE)
-})  
+test_that("psdAdd() returns",{
+  tmp <- subset(PSDWRtest,species %in% c("Yellow Perch","Bluegill Sunfish",
+                                         "Largemouth Bass","Lean Lake Trout"),
+                select=c("species","len","wt"))
+  tmp$PSD <- suppressMessages(psdAdd(len~species,data=tmp,thesaurus=thes))
+  expect_equal(ncol(tmp),4)
+  expect_true(is.factor(tmp$PSD))
+  tmp$PSD <- suppressMessages(psdAdd(len~species,data=tmp,thesaurus=thes,use.names=FALSE))
+  expect_equal(ncol(tmp),4)
+  expect_true(is.numeric(tmp$PSD))
+})
 
 test_that("psdCalc() returns",{
-  ## All values
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch"))
+  #===== Get some data for one species
+  df <- subset(PSDWRtest,species=="Yellow Perch",select=c("species","len"))
+
+  #===== All values
+  tmp <- suppressWarnings(psdCalc(~len,data=df,species="Yellow Perch"))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),8)
+  expect_equal(nrow(tmp),7)
   expect_equal(ncol(tmp),3)
-  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD-T","PSD S-Q",
+  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD S-Q",
                                "PSD Q-P","PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## Traditional values
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch",
+
+  #===== Traditional values
+  tmp <- suppressWarnings(psdCalc(~len,data=df,species="Yellow Perch",
                                   what="traditional"))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),4)
+  expect_equal(nrow(tmp),3)
   expect_equal(ncol(tmp),3)
-  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD-T"))
+  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch"))
-  ## Incremental values
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch",
+
+  #===== Incremental values
+  tmp <- suppressWarnings(psdCalc(~len,data=df,species="Yellow Perch",
                                   what="incremental"))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
@@ -396,8 +375,9 @@ test_that("psdCalc() returns",{
   expect_equal(ncol(tmp),3)
   expect_equal(rownames(tmp),c("PSD S-Q","PSD Q-P","PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## All values, but don't drop 0s
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch",
+  
+  #===== All values, but don't drop 0s
+  tmp <- suppressWarnings(psdCalc(~len,data=df,species="Yellow Perch",
                                   drop0Est=FALSE))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
@@ -406,19 +386,21 @@ test_that("psdCalc() returns",{
   expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD-T","PSD S-Q",
                                "PSD Q-P","PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## All values, with some additional lengths
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch",
+  
+  #===== All values, with some additional lengths
+  tmp <- suppressWarnings(psdCalc(~len,data=df,species="Yellow Perch",
                                   addLens=225,addNames="Derek"))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),10)
+  expect_equal(nrow(tmp),9)
   expect_equal(ncol(tmp),3)
-  expect_equal(rownames(tmp),c("PSD-Q","PSD-Derek","PSD-P","PSD-M","PSD-T",
+  expect_equal(rownames(tmp),c("PSD-Q","PSD-Derek","PSD-P","PSD-M",
                                "PSD S-Q","PSD Q-Derek","PSD Derek-P",
                                "PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## All values, with some additional lengths but no names
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch",
+  
+  #===== All values, with some additional lengths but no names
+  tmp <- suppressWarnings(psdCalc(~len,data=df,species="Yellow Perch",
                                   addLens=c(225,245),drop0Est=FALSE))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
@@ -428,8 +410,9 @@ test_that("psdCalc() returns",{
                                "PSD-T","PSD S-Q","PSD Q-225","PSD 225-245",
                                "PSD 245-P","PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## Just the additional values
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,species="Yellow Perch",
+  
+  #===== Just the additional values
+  tmp <- suppressWarnings(psdCalc(~len,data=df,species="Yellow Perch",
                                   addLens=c(225,245),drop0Est=FALSE,
                                   justAdds=TRUE))
   expect_equal(class(tmp),c("matrix","array"))
@@ -439,49 +422,52 @@ test_that("psdCalc() returns",{
   expect_equal(rownames(tmp),c("PSD-225","PSD-245","PSD Q-225",
                                "PSD 225-245","PSD 245-P"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## All values, but df only has values greater than stock values
-  df1 <- droplevels(subset(df,tl>=130))
-  tmp <- suppressWarnings(psdCalc(~tl,data=df1,species="Yellow Perch"))
+  
+  #===== All values, but df only has values greater than stock values
+  df1 <- droplevels(subset(df,len>=130))
+  tmp <- suppressWarnings(psdCalc(~len,data=df1,species="Yellow Perch"))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),8)
+  expect_equal(nrow(tmp),7)
   expect_equal(ncol(tmp),3)
-  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD-T","PSD S-Q",
-                               "PSD Q-P","PSD P-M","PSD M-T"))
+  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M",
+                               "PSD S-Q","PSD Q-P","PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## All values, but df only has values greater than quality values
-  df1 <- droplevels(subset(df,tl>=200))
-  tmp <- suppressWarnings(psdCalc(~tl,data=df1,species="Yellow Perch"))
+  
+  #===== All values, but df only has values greater than quality values
+  df1 <- droplevels(subset(df,len>=200))
+  tmp <- suppressWarnings(psdCalc(~len,data=df1,species="Yellow Perch"))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),7)
+  expect_equal(nrow(tmp),6)
   expect_equal(ncol(tmp),3)
-  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD-T",
+  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M",
                                "PSD Q-P","PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
-  ## All values, but df only has values greater than memorable value
-  df1 <- droplevels(subset(df,tl>=300))
-  tmp <- suppressWarnings(psdCalc(~tl,data=df1,species="Yellow Perch"))
+  
+  #===== All values, but df only has values greater than memorable value
+  df1 <- droplevels(subset(df,len>=300))
+  tmp <- suppressWarnings(psdCalc(~len,data=df1,species="Yellow Perch"))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),5)
+  expect_equal(nrow(tmp),4)
   expect_equal(ncol(tmp),3)
-  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD-T","PSD M-T"))
+  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
   
-  ## Pretend like no species is given
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,
+  #===== Pretend like no species is given
+  tmp <- suppressWarnings(psdCalc(~len,data=df,
                                   addLens=c("stock"=130,"quality"=200,"preferred"=250,
                                             "memorable"=300,"trophy"=380)))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
-  expect_equal(nrow(tmp),8)
+  expect_equal(nrow(tmp),7)
   expect_equal(ncol(tmp),3)
-  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M","PSD-T","PSD S-Q",
-                               "PSD Q-P","PSD P-M","PSD M-T"))
+  expect_equal(rownames(tmp),c("PSD-Q","PSD-P","PSD-M",
+                               "PSD S-Q","PSD Q-P","PSD P-M","PSD M-T"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
   
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,
+  tmp <- suppressWarnings(psdCalc(~len,data=df,
                                   addLens=c("stock"=130,"name1"=200,"name2"=250)))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
@@ -490,7 +476,7 @@ test_that("psdCalc() returns",{
   expect_equal(rownames(tmp),c("PSD-name1","PSD-name2","PSD S-name1","PSD name1-name2"))
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
 
-  tmp <- suppressWarnings(psdCalc(~tl,data=df,
+  tmp <- suppressWarnings(psdCalc(~len,data=df,
                                   addLens=c("stock"=130,"name1"=200)))
   expect_equal(class(tmp),c("matrix","array"))
   expect_equal(mode(tmp),"numeric")
@@ -500,26 +486,80 @@ test_that("psdCalc() returns",{
   expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
 })
 
-test_that("psdAdd() returns",{
-  tmp <- df
-  tmp$PSD <- suppressMessages(psdAdd(tl~species,data=tmp))
-  expect_equal(ncol(tmp),4)
-  expect_true(is.factor(tmp$PSD))
-  tmp$PSD <- suppressMessages(psdAdd(tl~species,data=tmp,use.names=FALSE))
-  expect_equal(ncol(tmp),4)
-  expect_true(is.numeric(tmp$PSD))
-})
+test_that("psdCI() returns",{
+  #===== Make an incremental proportions table
+  n <- 997
+  ipsd <- c(130,491,253,123)/n
+  
+  #===== single binomial
+  tmp <- psdCI(c(0,0,1,1),ipsd,n=n)
+  expect_equal(class(tmp),c("matrix","array"))
+  expect_equal(mode(tmp),"numeric")
+  expect_equal(nrow(tmp),1)
+  expect_equal(ncol(tmp),3)
+  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
+
+  tmp <- psdCI(c(1,0,0,0),ipsd,n=n,label="PSD S-Q")
+  expect_equal(class(tmp),c("matrix","array"))
+  expect_equal(mode(tmp),"numeric")
+  expect_equal(nrow(tmp),1)
+  expect_equal(ncol(tmp),3)
+  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
+  expect_equal(rownames(tmp),"PSD S-Q")
+  
+  #===== single multinomial
+  tmp <- psdCI(c(0,0,1,1),ipsd,n=n,method="multinomial")
+  expect_equal(class(tmp),c("matrix","array"))
+  expect_equal(mode(tmp),"numeric")
+  expect_equal(nrow(tmp),1)
+  expect_equal(ncol(tmp),3)
+  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
+  
+  tmp <- psdCI(c(1,0,0,0),ipsd,n=n,method="multinomial",label="PSD S-Q")
+  expect_equal(class(tmp),c("matrix","array"))
+  expect_equal(mode(tmp),"numeric")
+  expect_equal(nrow(tmp),1)
+  expect_equal(ncol(tmp),3)
+  expect_equal(colnames(tmp),c("Estimate","95% LCI","95% UCI"))
+  expect_equal(rownames(tmp),"PSD S-Q")
+  
+  #===== Adjustment for not proportions
+  ipsd <- c(130,491,253,123)
+  n <- sum(ipsd)
+  ipsd2 <- ipsd/n
+  
+  tmp <- suppressWarnings(psdCI(c(0,0,1,1),ipsd,n=n))
+  tmp2 <- psdCI(c(0,0,1,1),ipsd2,n=n)
+  expect_equal(tmp,tmp2)
+  
+  tmp <- suppressWarnings(psdCI(c(0,0,1,1),ipsd,n=n,method="multinomial"))
+  tmp2 <- psdCI(c(0,0,1,1),ipsd2,n=n,method="multinomial")
+  expect_equal(tmp,tmp2)
+  
+  ## Adjustment for a PSD of 0 or 1
+  ipsd <- c(1,0,0,0)
+  n <- 455
+  tmp <- psdCI(c(1,1,0,0),ipsd,n=n)
+  expect_equal(tmp,matrix(c(100,NA,NA),nrow=1),ignore_attr=TRUE)
+  
+  ipsd <- c(0,0,0,1)
+  n <- 455
+  tmp <- psdCI(c(1,1,0,0),ipsd,n=n)
+  expect_equal(tmp,matrix(c(0,NA,NA),nrow=1),ignore_attr=TRUE)
+})  
 
 
 ## Validate Results ----
 test_that("Does psdAdd() create correct Gabelhouse categories?",{
-  suppressMessages(df2$gcatn <- psdAdd(tl~species,data=df2))
-  expect_equal(df2$gcatn,df2$GCATN)
+  #!!!!! df2 has hand-calculated results for psd variable
+  suppressMessages(df2$psd2 <- psdAdd(len~species2,data=df2,
+                                      thesaurus=thes))
+  expect_equal(df2$psd,df2$psd2)
 })
 
 test_that("Does psdAdd() properly handle NA in species?",{
-  ## Makes sure NAs are in proper position and by extension correct number
-  # Just NAs for species only one other species
+  #!!!!! Makes sure NAs are in proper position and by extension correct number
+  #===== Just NAs for species only one other species
   testdf <- data.frame(TL=c(400,90,250,130,50),
                        Spp=c("White Crappie",NA,"White Crappie",
                              "White Crappie","White Crappie"))
@@ -527,7 +567,7 @@ test_that("Does psdAdd() properly handle NA in species?",{
   expect_equal(which(is.na(testdf$TL) | is.na(testdf$Spp)),
                   which(is.na(gcat)))
   
-  # Just NAs for species only multiple other species
+  #===== Just NAs for species only multiple other species
   testdf <- data.frame(TL=c(400,90,250,130,50),
                        Spp=c("White Crappie",NA,"White Crappie",
                              "White Crappie","Black Crappie"))
@@ -535,7 +575,7 @@ test_that("Does psdAdd() properly handle NA in species?",{
   expect_equal(which(is.na(testdf$TL) | is.na(testdf$Spp)),
                     which(is.na(gcat)))
 
-  # Just NAs for species, but with a species w/o Gabelhouse lengths
+  #===== Just NAs for species, but with a species w/o Gabelhouse lengths
   testdf <- data.frame(TL=c(400,90,250,NA,50),
                        Spp=c("White Crappie",NA,"badSpp",
                              "White Crappie","Black Crappie"))
@@ -543,139 +583,118 @@ test_that("Does psdAdd() properly handle NA in species?",{
   expect_equal(which(is.na(testdf$TL) | is.na(testdf$Spp) | testdf$Spp=="badSpp"),
                     which(is.na(gcat)))
   
-  # NAs for length and species
+  #===== NAs for length and species
   testdf <- data.frame(TL=c(400,90,250,NA,50),
                        Spp=c("White Crappie",NA,"White Crappie",
                              "White Crappie","Black Crappie"))
   suppressMessages(gcat <- psdAdd(TL~Spp,data=testdf,drop.levels=TRUE))
   expect_equal(which(is.na(testdf$TL) | is.na(testdf$Spp)),
                     which(is.na(gcat)))
-
 })
 
 test_that("Does psdCalc() compute correct PSD values?",{
-  suppressWarnings(bgres <- psdCalc(~tl,data=df2bg,species="Bluegill"))
-  expect_equal(bgres[,"Estimate"],c(80,60,40,20,20,20,20,20),ignore_attr=TRUE)
-  suppressWarnings(lmbres <- psdCalc(~tl,data=df2lmb,species="Largemouth Bass"))
-  expect_equal(lmbres[,"Estimate"],c(60,30,10,40,30,20,10),ignore_attr=TRUE)
-  ## pretend like no species is given (but using bluegill results)
-  suppressWarnings(bgres <- psdCalc(~tl,data=df2bg,
-                                    addLens=c("stock"=80,"quality"=150,
-                                              "preferred"=200,"memorable"=250,
-                                              "trophy"=300)))
-  expect_equal(bgres[,"Estimate"],c(80,60,40,20,20,20,20,20),ignore_attr=TRUE)
+  #===== Bluegill and Bass examples
+  suppressWarnings(res <- psdCalc(~len,data=subset(df2,species=="Bluegill Sunfish"),
+                                  species="Bluegill"))
+  expect_equal(res[,"Estimate"],c(55,10,45,45,10),ignore_attr=TRUE)
+  suppressWarnings(res <- psdCalc(~len,data=subset(df2,species=="Largemouth Bass"),
+                                  species="Largemouth Bass"))
+  expect_equal(res[,"Estimate"],c(43,4,57,39,4),ignore_attr=TRUE)
+  
+  #===== pretend like no species is given (but using bluegill results)
+  suppressWarnings(res <- psdCalc(~len,data=subset(df2,species=="Bluegill Sunfish"),
+                                  species="Bluegill",
+                                  addLens=c("stock"=80,"quality"=150,
+                                            "preferred"=200,"memorable"=250,
+                                            "trophy"=300)))
+  expect_equal(res[,"Estimate"],c(55,10,45,45,10),ignore_attr=TRUE)
 })
 
 #test_that("Does psdCalc() work with a tibble?",{
-#  tmp <- tibble::as_tibble(df2bg)
-#  suppressWarnings(bgres <- psdCalc(~tl,data=df2bg,species="Bluegill"))
-#  suppressWarnings(bgres2 <- psdCalc(~tl,data=tmp,species="Bluegill"))
-#  expect_equal(bgres,bgres2)
+#  #!!!!! Commented out so as not to have to include tibble in package depends
+#  tmp1 <- subset(df2,species=="Bluegill Sunfish")
+#  tmp2 <- tibble::as_tibble(tmp1)
+#  suppressWarnings(res1 <- psdCalc(~len,data=tmp1,species="Bluegill"))
+#  suppressWarnings(res2 <- psdCalc(~len,data=tmp2,species="Bluegill"))
+#  expect_equal(res,res2)
 #})
 
-test_that("Does psdCI results match Brenden et al. (2008) results",{
-  ## proportions table from Brenden et al. (2008)
-  ipsd <- c(0.130,0.491,0.253,0.123)
-  n <- 445
-  
-  ## results from Brendent et al. (2008) ... Table 2
-  bpsd <- cbind(c(13,49,25,12,87,38),
-                c(9,42,20,8,82,31),
-                c(17,56,31,17,91,44))
-  colnames(bpsd) <- c("Estimate","95% LCI","95% UCI")
-  rownames(bpsd) <- c("PSD S-Q","PSD Q-P","PSD P-M","PSD M-T","PSD","PSD-P")
-  
-  ## psdCI calculations
-  imat <- matrix(c(1,0,0,0,
-                   0,1,0,0,
-                   0,0,1,0,
-                   0,0,0,1,
-                   0,1,1,1,
-                   0,0,1,1),nrow=6,byrow=TRUE)
-  rownames(imat) <- rownames(bpsd)
-  mcis <- t(apply(imat,MARGIN=1,FUN=psdCI,ptbl=ipsd,n=n,method="multinomial"))
-  colnames(mcis) <- c("Estimate","95% LCI","95% UCI")
-  diff <- mcis-bpsd
-  # Brenden's results were rounded, thus all should be within 0.5
-  expect_true(all(abs(diff)<=0.5))
-})
-
-test_that("Does psdCI results match Brenden et al. (2008) results",{
-  ## Setup sample with known PSD values
+test_that("Does psdCalc() results match Brenden et al. (2008) results",{
+  #===== Setup sample with known PSD values
   brks <- psdVal("Yellow Perch")
   freq <- c(110,75,50,35,20,10)
-  df3 <- data.frame(tl=rep(brks,freq)+sample(1:45,300,replace=TRUE),
+  tmp <- data.frame(tl=rep(brks,freq)+sample(1:45,300,replace=TRUE),
                     species=factor(rep("Yellow Perch",300)))
-  ## Get known PSD values
+  
+  #===== Get known PSD values
   psdXYs <- prop.table(freq[-1])*100
   psdXs <- rcumsum(psdXYs)[-1]
   psdXYs <- psdXYs[-length(psdXYs)]
-  ## Get psdCalc results
+
+  #----- Get psdCalc results
   suppressWarnings(
-    resXY <- psdCalc(~tl,data=df3,species="Yellow Perch",what="incremental",
+    resXY <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="incremental",
                      digits=getOption("digits")))
   suppressWarnings(
-    resX <- psdCalc(~tl,data=df3,species="Yellow Perch",what="traditional",
+    resX <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="traditional",
                     digits=getOption("digits")))
-  ## Are lengths what you would expect
+
+  #----- Are lengths what you would expect
   expect_equal(nrow(resXY),4)
   expect_equal(nrow(resX),4)
-  ## Are values the same
+  #----- Are values the same
   diffs <- round(resXY[,"Estimate"]-psdXYs,7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   diffs <- round(resX[,"Estimate"]-psdXs,7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   
-  ## Do things still work if all sub-stock fish are removed
-  tmp <- droplevels(subset(df3,tl>=brks["stock"]))
+  #===== Do things still work if all sub-stock fish are removed
+  tmp1 <- droplevels(subset(tmp,tl>=brks["stock"]))
   suppressWarnings(
-    resXY <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="incremental",
+    resXY <- psdCalc(~tl,data=tmp1,species="Yellow Perch",what="incremental",
                      digits=getOption("digits")))
   suppressWarnings(
-    resX <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="traditional",
+    resX <- psdCalc(~tl,data=tmp1,species="Yellow Perch",what="traditional",
                     digits=getOption("digits")))
   expect_equal(nrow(resXY),4)
   expect_equal(nrow(resX),4)
-  ## Are values the same
   diffs <- round(resXY[,"Estimate"]-psdXYs,7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   diffs <- round(resX[,"Estimate"]-psdXs,7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   
-  ## Do things still work if all sub-stock and stock fish are removed  
+  #===== Do things still work if all sub-stock and stock fish are removed  
   psdXYs <- prop.table(freq[-c(1:2)])*100
   psdXs <- rcumsum(psdXYs)[-1]
   psdXYs <- psdXYs[-length(psdXYs)]
   
-  tmp <- droplevels(subset(df3,tl>=brks["quality"]))
+  tmp1 <- droplevels(subset(tmp,tl>=brks["quality"]))
   suppressWarnings(
-    resXY <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="incremental",
+    resXY <- psdCalc(~tl,data=tmp1,species="Yellow Perch",what="incremental",
                      digits=getOption("digits")))
   suppressWarnings(
-    resX <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="traditional",
+    resX <- psdCalc(~tl,data=tmp1,species="Yellow Perch",what="traditional",
                     digits=getOption("digits")))
   expect_equal(nrow(resXY),3)  # no S-Q row
   expect_equal(nrow(resX),4)   # all should be there
-  ## Are values the same
   diffs <- round(resXY[,"Estimate"]-psdXYs,7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   diffs <- round(resX[-1,"Estimate"]-psdXs,7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   
-  ## Do things still work if all trophy fish are removed  
+  #===== Do things still work if all trophy fish are removed  
   psdXYs <- prop.table(freq[-c(1,length(freq))])*100
   psdXs <- rcumsum(psdXYs)[-1]
   
-  tmp <- droplevels(subset(df3,tl<brks["trophy"]))
+  tmp1 <- droplevels(subset(tmp,tl<brks["trophy"]))
   suppressWarnings(
-    resXY <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="incremental",
+    resXY <- psdCalc(~tl,data=tmp1,species="Yellow Perch",what="incremental",
                      digits=getOption("digits")))
   suppressWarnings(
-    resX <- psdCalc(~tl,data=tmp,species="Yellow Perch",what="traditional",
+    resX <- psdCalc(~tl,data=tmp1,species="Yellow Perch",what="traditional",
                     digits=getOption("digits")))
   expect_equal(nrow(resXY),4)  # no T- row
   expect_equal(nrow(resX),3)   # no T row
-  ## Are values the same
   diffs <- round(resXY[,"Estimate"]-psdXYs,7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   diffs <- round(resX[,"Estimate"]-psdXs,7)
@@ -683,25 +702,53 @@ test_that("Does psdCI results match Brenden et al. (2008) results",{
 })
 
 test_that("Does manual calculation after psdAdd() equal psdCalc() results?",{
-  ## get psdCalc results for LMB and BG .. ultimately compare to psdDataPrep results
+  #===== get psdCalc results for LMB and BG .. ultimately compare to df2 results
   suppressWarnings(
-    psdBG <- psdCalc(~tl,data=droplevels(subset(df,species=="Bluegill")),
+    psdBG <- psdCalc(~len,data=droplevels(subset(df2,species=="Bluegill Sunfish")),
                      species="Bluegill",digits=getOption("digits")))
   suppressWarnings(
-    psdLMB <- psdCalc(~tl,
-                      data=droplevels(subset(df,species=="Largemouth Bass")),
+    psdLMB <- psdCalc(~len,data=droplevels(subset(df2,species=="Largemouth Bass")),
                       species="Largemouth Bass",digits=getOption("digits")))
   
-  ## apply psdAdd
-  suppressMessages(df$PSDcat <- psdAdd(tl~species,df))
-  # remove substock and other fish
-  tmp <- droplevels(subset(df,species %in% c("Bluegill","Largemouth Bass")))
+  #===== apply psdAdd to df2
+  suppressMessages(df2$PSDcat <- psdAdd(len~species2,df2,thesaurus=thes))
+  #-----  isolate two species, remove substock and other fish
+  tmp <- droplevels(subset(df2,species %in% c("Bluegill Sunfish","Largemouth Bass")))
   tmp <- droplevels(subset(tmp,PSDcat!="substock"))
+  #-----  calculate PSDs as prop.table
   res <- prop.table(xtabs(~species+PSDcat,data=tmp),margin=1)*100
-  ## do PSD X-Y results match for two species
-  ## Are values the same
-  diffs <- round(res["Bluegill",1:3]-psdBG[3:5,"Estimate"],7)
+  
+  #===== do PSD X-Y results match for two species
+  diffs <- round(res["Bluegill Sunfish",1:3]-psdBG[3:5,"Estimate"],7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
   diffs <- round(res["Largemouth Bass",1:3]-psdLMB[3:5,"Estimate"],7)
   expect_equal(diffs,rep(0,length(diffs)),ignore_attr=TRUE)
 })
+
+test_that("Does psdCI results match Brenden et al. (2008) results",{
+  #===== proportions table from Brenden et al. (2008)
+  ipsd <- c(0.130,0.491,0.253,0.123)
+  n <- 445
+  
+  #===== results from Brenden et al. (2008) ... Table 2
+  bpsd <- cbind(c(13,49,25,12,87,38),
+                c(9,42,20,8,82,31),
+                c(17,56,31,17,91,44))
+  colnames(bpsd) <- c("Estimate","95% LCI","95% UCI")
+  rownames(bpsd) <- c("PSD S-Q","PSD Q-P","PSD P-M","PSD M-T","PSD","PSD-P")
+  
+  #===== psdCI calculations
+  imat <- matrix(c(1,0,0,0,
+                   0,1,0,0,
+                   0,0,1,0,
+                   0,0,0,1,
+                   0,1,1,1,
+                   0,0,1,1),nrow=6,byrow=TRUE)
+  rownames(imat) <- rownames(bpsd)
+  mcis <- t(apply(imat,MARGIN=1,FUN=psdCI,ptbl=ipsd,n=n,method="multinomial"))
+  colnames(mcis) <- c("Estimate","95% LCI","95% UCI")
+  
+  #===== Brenden's results were rounded, thus all should be within 0.5
+  diff <- mcis-bpsd
+  expect_true(all(abs(diff)<=0.5))
+})
diff --git a/tests/testthat/testthat_WSWR.R b/tests/testthat/testthat_WSWR.R
index f5a758dc..cc3fd2d4 100644
--- a/tests/testthat/testthat_WSWR.R
+++ b/tests/testthat/testthat_WSWR.R
@@ -17,6 +17,12 @@ test_that("wsVal() messages",{
                "There is no \"Derek\" group for \"Walleye\"")
   expect_warning(wsVal("Bluegill",group="Derek"),
                "There are no groups for \"Bluegill\"; thus,")
+  #===== need groups, but trying group in parentheses with species
+  expect_error(wsVal("Walleye (junk)"),
+               "There is no Ws equation in \'WSlit\' for \"Walleye ")
+  expect_warning(wsVal("Walleye (overall)",group="junk"),
+                 "There are no groups for \"Walleye ")
+  expect_no_error(wsVal("Walleye (overall)"))
   
   #===== bad units
   #----- typed wrong
@@ -29,6 +35,8 @@ test_that("wsVal() messages",{
                "There is no Ws equation for \"Bluegill\" with a reference")
   expect_error(wsVal("Bluegill",ref=50),
                "There is no Ws equation for \"Bluegill\" with a reference")
+  expect_error(wsVal("Ruffe",ref=30),
+               "There is no Ws equation for \"Ruffe\" with a reference")
   #===== bad choices for method
   expect_error(wsVal("Bluegill",method="Derek"),
                "There is no Ws equation for \"Bluegill\" derived from")
@@ -43,67 +51,84 @@ test_that("wsVal() messages",{
 })
 
 test_that("wrAdd() messages",{
-  ## simulate data set
-  set.seed(345234534)
-  dbt <- data.frame(species=factor(rep(c("Bluefin Tuna"),30)),
-                    tl=round(rnorm(30,1900,300),0))
-  dbt$wt <- round(4.5e-05*dbt$tl^2.8+rnorm(30,0,6000),1)
-  dbg <- data.frame(species=factor(rep(c("Bluegill"),30)),
-                    tl=round(rnorm(30,130,50),0))
-  dbg$wt <- round(4.23e-06*dbg$tl^3.316+rnorm(30,0,10),1)
-  dlb <- data.frame(species=factor(rep(c("Largemouth Bass"),30)),
-                    tl=round(rnorm(30,350,60),0))
-  dlb$wt <- round(2.96e-06*dlb$tl^3.273+rnorm(30,0,60),1)
-  df <- rbind(dbt,dbg,dlb)
-  df$rnd <- runif(nrow(df))
-  df$junk <- sample(c("Derek","Hugh","Ogle"),nrow(df),replace=TRUE)
-  
-  ## Simulate second data set
-  wae <- data.frame(species=factor(rep(c("Walleye"),30)),
-                    tl=round(rnorm(30,500,200),0))
-  wae$wt <- round(3.33e-06*wae$tl^3.16+rnorm(30,0,50),1)
+  #===== Get data
+  #----- Species with no "issues" + random numeric variable
+  df1 <- subset(PSDWRtest,
+                species %in% c("Yellow Perch","Largemouth Bass","Iowa Darter"))
+  df1$rndn <- runif(nrow(df1))
+
+  #----- Species with some "issues"
+  df2 <- subset(PSDWRtest,
+                species %in% c("Bluegill Sunfish","Ruffe","Walleye","Iowa Darter"))
   
-  ## bad units
-  expect_error(wrAdd(wt~tl+species,df,units="inches"),"should be one of")
+   
+  #===== bad units
+  expect_error(wrAdd(wt~len+species,df1,units="inches"),"should be one of")
   
-  ## bad formulae
-  expect_error(wrAdd(~tl,df),"one variable")
-  expect_error(wrAdd(~tl+species,df),"one variable")
-  expect_error(wrAdd(~tl+species+wt,df),"left-hand-side")
-  expect_error(wrAdd(wt~tl,df),"one variable")
-  expect_error(wrAdd(wt~species,df),"one variable")
-  expect_error(wrAdd(wt~tl+rnd,df),"only one numeric")
-  expect_error(wrAdd(wt~species+junk,df),"only one numeric")
-  expect_error(wrAdd(wt~tl+species+junk,df),"one variable")
-  expect_error(wrAdd(wt+tl~species,df),"more than one variable")
-  expect_error(wrAdd(wt~tl+rnd+species,df),"one variable")
+  #===== bad formulae
+  expect_error(wrAdd(~len,df1),"must have one variable on the left-hand-side")
+  expect_error(wrAdd(~len+species,df1),"must have one variable on the left-hand-side")
+  expect_error(wrAdd(~len+species+wt,df1),"must have a left-hand-side")
+  expect_error(wrAdd(wt~len,df1),"must have one variable on the left-hand-side")
+  expect_error(wrAdd(wt~species,df1),"must have one variable on the left-hand-side")
+  expect_error(wrAdd(wt~len+rndn,df1),"must have one and only one numeric variable")
+  expect_error(wrAdd(wt~species+location,df1),"must have one and only one numeric variable")
+  expect_error(wrAdd(wt~len+species+location,df1),"must have one variable on the left-hand-side")
+  expect_error(wrAdd(wt+len~species,df1),"does not work with more than one variable on the")
+  expect_error(wrAdd(wt~len+rndn+species,df1),"must have one variable on the left-hand-side")
   
-  ## bad vector types
-  expect_error(wrAdd(species~wt+tl,df),"not numeric")
-  expect_error(wrAdd(df$species,df$wt,df$tl),"numeric")
-  expect_error(wrAdd(df$wt,df$species,df$tl),"numeric")
-  expect_error(wrAdd(df$wt,df$tl,df$rnd),"factor")
+  #===== bad vector types
+  expect_error(wrAdd(species~wt+len,df1),"Variable on left-hand-side of \'wt\' is not numeric")
+  expect_error(wrAdd(df1$species,df1$wt,df1$len),"\'wt\' must be numeric")
+  expect_error(wrAdd(df1$wt,df1$species,df1$len),"\'len\' must be numeric")
+  expect_error(wrAdd(df1$wt,df1$len,df1$rndn),"\'spec\' must be character or factor")
   
-  ## need to use WsOpts
-  expect_error(wrAdd(wt~tl+species,wae),
-               "More than one Ws equation exists for \"Walleye\"") %>%
-    expect_output("Walleye")
-  expect_error(wrAdd(wt~tl+species,wae,
+  #===== need to use WsOpts
+  expect_error(wrAdd(wt~len+species,df2),
+               "More than one Ws equation exists for \"Ruffe\"") %>%
+    expect_output("Ruffe")
+  expect_error(wrAdd(wt~len+species,df2,
                      WsOpts=list(Bluegill=list(group="overall"))),
+               "More than one Ws equation exists for \"Ruffe\"") %>%
+    expect_output("Ruffe")
+  expect_error(wrAdd(wt~len+species,df2,
+                     WsOpts=list(Ruffe=list(ref=50))),
                "More than one Ws equation exists for \"Walleye\"") %>%
     expect_output("Walleye")
-  expect_error(wrAdd(wt~tl+species,wae,
-                     WsOpts=list(Walleye=list(ref=50))),
+  expect_error(wrAdd(wt~len+species,df2,
+                     WsOpts=list(Ruffe=list(ref=50),
+                                 Walleye=list(ref=50))),
                "Use of 'ref=50' for \"Walleye\" did not return")
-  expect_error(wrAdd(wt~tl+species,wae,
-                     WsOpts=list(Walleye=list(junk=50))),
+  expect_error(wrAdd(wt~len+species,df2,
+                     WsOpts=list(Ruffe=list(junk=50))),
                "'junk' in 'WsOpts=' must be one of")
+  expect_no_error(wrAdd(wt~len+species,data=df2,
+                        WsOpts=list(Walleye=list(group="overall"),
+                                    Ruffe=list(ref=75))))
+  
+  #===== bad thesaurus
+  expect_error(wrAdd(wt~len+species,df2,thesaurus=c("Bluegill"),
+                     WsOpts=list(Walleye=list(group="overall"),
+                                 Ruffe=list(ref=75))),
+               "Values in \'thesaurus\' must be named")
+  expect_error(wrAdd(wt~len+species,df2,thesaurus=c("Bluegill"=7),
+                     WsOpts=list(Walleye=list(group="overall"),
+                                 Ruffe=list(ref=75))),
+               "Values in \'thesaurus\' must be strings of species names")
+  expect_error(wrAdd(wt~len+species,df2,thesaurus=factor(c("Bluegill"="Bluegill Sunfish")),
+                     WsOpts=list(Walleye=list(group="overall"),
+                                 Ruffe=list(ref=75))),
+               "\'thesaurus\' must be either a vector or list")
+  tmp <- wrAdd(wt~len+species,df2,thesaurus=c("bluegill"="Bluegill Sunfish"),
+               WsOpts=list(Walleye=list(group="overall"),
+                           Ruffe=list(ref=75))) %>%
+    expect_message("The following species names were in \'thesaurus\' but do not") 
 })
 
 
 ## Test Output Types ----
 test_that("wsVal() results",{
-  ## Do Bluegill results match ... example with no group or quad
+  #===== Do Bluegill results match ... example with no group or quad
   bg1 <- wsVal("Bluegill")
   bg2 <- WSlit[WSlit$species=="Bluegill" & WSlit$units=="metric",]
   bg2 <- bg2[,!names(bg2) %in% c("group","max.len","quad","comment")]
@@ -116,7 +141,7 @@ test_that("wsVal() results",{
   bg2 <- WSlit[WSlit$species=="Bluegill" & WSlit$units=="English",]
   bg2 <- bg2[,names(bg2) %in% c("species","min.len","int","slope")]
   expect_equal(bg1,bg2,ignore_attr=TRUE)
-  ## Do Ruffe results match ... example with quad
+  #===== Do Ruffe results match ... example with quad
   ruf1 <- wsVal("Ruffe",ref=75)
   ruf2 <- WSlit[WSlit$species=="Ruffe" & WSlit$units=="metric" & WSlit$ref=="75",]
   ruf2 <- ruf2[!names(ruf2) %in% c("group","comment")]
@@ -125,7 +150,7 @@ test_that("wsVal() results",{
   ruf2 <- WSlit[WSlit$species=="Ruffe" & WSlit$units=="metric" & WSlit$ref=="75",]
   ruf2 <- ruf2[,names(ruf2) %in% c("species","min.len","max.len","int","slope","quad")]
   expect_equal(ruf1,ruf2,ignore_attr=TRUE)
-  ## Do Walleye results match ... example with a sub-group
+  #===== Do Walleye results match ... example with a sub-group
   wae1 <- wsVal("Walleye",group="overall")
   wae2 <- WSlit[WSlit$species=="Walleye" & WSlit$group=="overall" & WSlit$units=="metric",]
   wae2 <- wae2[,!names(wae2) %in% c("max.len","quad","comment")]
@@ -138,19 +163,38 @@ test_that("wsVal() results",{
   wae2 <- WSlit[WSlit$species=="Walleye" & WSlit$group=="overall" & WSlit$units=="metric",]
   wae2 <- wae2[,names(wae2) %in% c("species","min.len","int","slope")]
   expect_equal(wae1,wae2,ignore_attr=TRUE)
+  #===== Do Walleye results match ... example with a sub-group in the species name
+  wae1 <- wsVal("Walleye (overall)")
+  wae2 <- WSlit[WSlit$species=="Walleye (overall)" & WSlit$units=="metric",]
+  wae2 <- wae2[,!names(wae2) %in% c("group","max.len","quad","comment")]
+  expect_equal(wae1,wae2,ignore_attr=TRUE)
+  wae1 <- wsVal("Walleye (overall)",units="English")
+  wae2 <- WSlit[WSlit$species=="Walleye (overall)" & WSlit$units=="English",]
+  wae2 <- wae2[,!names(wae2) %in% c("group","max.len","quad","comment")]
+  expect_equal(wae1,wae2,ignore_attr=TRUE)
+  wae1 <- wsVal("Walleye (overall)",simplify=TRUE)
+  wae2 <- WSlit[WSlit$species=="Walleye (overall)" & WSlit$units=="metric",]
+  wae2 <- wae2[,names(wae2) %in% c("species","min.len","int","slope")]
+  expect_equal(wae1,wae2,ignore_attr=TRUE)
   
-  ##
+  #===== Check list output
   expect_message(capture.output(wsVal("List")),"must be one of following")
   expect_output(suppressMessages(wsVal("List")))
 })
 
 
 ## Validate Results ----
-test_that("wrAdd() matches values computed in Excel.",{
+test_that("wrAdd() matches values computed 'by hand' in Excel.",{
   # Read in external CSV file
-  ftmp <- system.file("extdata","PSDWR_testdata.csv",package="FSA")
-  df <- read.csv(ftmp)
-
-  df$wr <- wrAdd(wt~tl+species,data=df)
-  expect_equal(df$wr,df$WR)
+  ftmp <- system.file("extdata","PSDWR_data4testthat.csv",package="FSA")
+  tmp <- read.csv(ftmp)
+  # Create a thesaurus for a couple of species
+  thes <- c("Bluegill"="Bluegill Sunfish",
+            "Lake Trout"="Lean Lake Trout")
+  # Add wr variable as calculated in FSA
+  tmp$wr2 <- wrAdd(wt~len+species2,data=tmp,
+                   thesaurus=thes,
+                   WsOpts=list(Ruffe=list(ref=75)))
+  # Compare  
+  expect_equal(tmp$wr,tmp$wr2)
 })
diff --git a/tests/testthat/testthat_catchCurve.R b/tests/testthat/testthat_catchCurve.R
index eb1e958b..616d9c1f 100644
--- a/tests/testthat/testthat_catchCurve.R
+++ b/tests/testthat/testthat_catchCurve.R
@@ -9,6 +9,12 @@ cr <- chapmanRobson(catch~age,data=d,ages2use=2:6)
 cr1 <- chapmanRobson(catch~age,data=d,ages2use=2:6,zmethod="Hoenigetal")
 cr2 <- chapmanRobson(catch~age,data=d,ages2use=2:6,zmethod="original")
 
+# for testing too small CPE in catch in chapmanRobson()
+d2 <- data.frame(age=7:13,
+                 cpe=c(0.089,0.070,0.055,0.024,0.018,0.023,0.028),
+                 cpex2=c(0.178,0.140,0.110,0.048,0.036,0.046,0.056),
+                 cpex10=c(0.89,0.70,0.55,0.24,0.18,0.23,0.28)) 
+
 
 ## Test Messages ----
 test_that("catchCurve() messages",{
@@ -133,6 +139,12 @@ test_that("chapmanRobson errors and warnings",{
   # bad args in confint
   expect_error(plot(cr,ylim=c(3,7,10)),
                "may not have more than two")
+  # too small CPE in catch
+  expect_error(chapmanRobson(cpe~age,data=d2),
+               "The sum of")
+  expect_error(chapmanRobson(cpex2~age,data=d2),
+               "The sum of")
+  expect_no_error(chapmanRobson(cpex10~age,data=d2))
 })
 
 
diff --git a/tests/testthat/testthat_metaM.R b/tests/testthat/testthat_metaM.R
index 20dd4e24..76b802b4 100644
--- a/tests/testthat/testthat_metaM.R
+++ b/tests/testthat/testthat_metaM.R
@@ -10,8 +10,8 @@ test_that("metaM() messages",{
                "should be one of")
   
   ## missing parameters
-  # default tmax method
-  expect_error(metaM("tmax"),
+  # default tmax1 method
+  expect_error(metaM("tmax1"),
                "must be given to")
   # Pauly L method
   expect_error(metaM("PaulyL",Linf=200,K=0.3),
@@ -136,7 +136,8 @@ test_that("metaM() matches results from Kenchington (2014)",{
   expect_equal(round(tmp$M,2)[-7],tmp$expM[-7])
   
   ## Norwegian Fjord Lanternfish
-  ##   matches except for the HoenigOF and HoenigO2F, which Kenchington acknowledged as erroneous
+  ##   matches except for the HoenigOF and HoenigO2F, which Kenchington
+  ##   acknowledged as erroneous
   tmp <- metaM(meths,tmax=8,Linf=8.306,Winf=8.68,K=0.204,t0=-0.64,
                b=3.26,t50=2,T=8,L=2)
   tmp <- data.frame(tmp,expM=c(0.51,0.46,0.55,0.61,0.58,0.64,0.31,
diff --git a/vignettes/articles/Computing_PSDs.qmd b/vignettes/articles/Computing_PSDs.qmd
index b814153a..32474855 100644
--- a/vignettes/articles/Computing_PSDs.qmd
+++ b/vignettes/articles/Computing_PSDs.qmd
@@ -25,11 +25,11 @@ The following packages are used herein. Note that the `FSA` functions described
 #| results: hide
 #| message: false
 library(FSA)
-library(dplyr)  # mutate, select, group_by, summarize
+library(dplyr)  # mutate, select, filter, case_when
 ```
 
 
-# Creating PSD-Related Length Categories
+# Looking-Up PSD-Related Lengths
 ## Gabelhouse Length Categories
 Five-cell Gabelhouse (GH) length categories have been deveoped for a number of freshwater game fish in the United States, as well as several non-game fish in the United States and some other fish from outside of the United States. These values have been collated into the `PSDlit` data.frame^[Specifics [here](https://fishr-core-team.github.io/FSA/reference/PSDlit.html).] distributed with `FSA` and are most easily accessed with `psdVal()`. For example, the GH length categories for Bluegill are retrieved below.
 
@@ -37,14 +37,14 @@ Five-cell Gabelhouse (GH) length categories have been deveoped for a number of f
 psdVal("Bluegill")
 ```
 
-The default is to return lengths in millimeters; however, they can be returned in centimeters or inches with `units=`
+The default is to return lengths in millimeters; however, they can be returned in centimeters or inches with `units=`.^[A few species do not have define English unit lengths.]
 
 ```{r}
 psdVal("Bluegill",units="cm")
 psdVal("Bluegill",units="in")
 ```
 
-By default, a sixth cell is included that is labeled as "substock" and will always have the value of 0. This can be useful for data that includes individuals shorter than the stock length. Use `incl.zero=FALSE` to exclude this category.
+By default, a sixth cell is included that is labeled as "substock" and will always have the value of 0. This can be useful for some analyses with data that includes individuals shorter than the stock length. Use `incl.zero=FALSE` to exclude this category.
 
 ```{r}
 psdVal("Bluegill",incl.zero=FALSE)
@@ -71,12 +71,36 @@ A small number of species have separate length designations for sub-groups of th
 psdVal("Brown Trout")
 ```
 
-Then try again with `group=` as suggested to select a specific group.
+Then try again with `group=` to select a specific group as suggested.
 
 ```{r}
 psdVal("Brown Trout",group="lotic")
 ```
 
+These same species and sub-group combinations can also be accessed by combining the species name and lower-case sub-group name (in parenthesis) into the first argument (and then not using `group=`).
+
+```{r}
+psdVal("Brown Trout (lotic)")
+```
+
+Thus, species with sub-group designations can be identified by scanning the list of names returned by `psdVal()` for parentheses. This has some limitations as there are a few species that appear to have a sub-group but the name with parentheses is only used here (in `PSDlit`) to facilitate use when calculating PSD and relative weight metrics^[As described in [this vignette](https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html).] with the same data.frame. Muskellunge is an example of this where there is only one set of GH length categories but they are repeated for separate sub-groups because separate standard weight equations exist for these sub-groups.
+
+```{r}
+psdVal("Muskellunge")
+psdVal("Muskellunge (overall)")
+psdVal("Muskellunge (female)")
+psdVal("Muskellunge (male)")
+```
+
+There are also a few species where an original definition of GH length categories has been revised in the literature. The original and revised definitions are available in `PSDlit` with the revised definitions accessed by using just the species name and the original definitions accessed by appending "(original)" to the species name.
+
+```{r}
+psdVal("Spotted Bass")             # revised definitions
+psdVal("Spotted Bass (original)")
+```
+
+We strongly urge you to have a good understanding of the GH length categories for your species' of interest and make sure that `psdVal()` is returning the values that you expect (i.e., correct species, sub-group (if appropriate), units, etc.).
+
 ## Additional Length Categories
 There may be times when you desire length categories in addition to the GH lengths. For example, suppose that the minimum length limit for Largemouth Bass is 254 mm. This length can be included as one of the categories by including a vector with the length (or lengths) to `addLens=`. If the item in the vector is named (second example below) then the value will also be named in the returned result.
 
@@ -91,12 +115,12 @@ Multiple additional lengths can be included.
 psdVal("Largemouth Bass",addLens=c("minSlot"=254,"maxSlot"=356))
 ```
 
-# Adding Length Category Variable for One Species
+# Add Length Categories for One Species
 ## "Manual" Additions
-Suppose that we want to add another variable with the GH length categories to the data.frame of lengths (along with capture location) for Yellow Perch from Saginaw Bay, MI in `YPerchSB1` (distributed with the `FSAdata` package). Note here that lengths are in **centimeters**.
+Suppose that we want to add a variable with the GH length categories to the data.frame of lengths (along with capture location) for Yellow Perch from Saginaw Bay, MI in `YPerchSB1` (distributed with the `FSAdata` package). Note here that lengths are in **centimeters**.
 
 ```{r}
-data(YPerchSB1,package="FSAdata")
+data(YPerchSB1,package="FSAdata")  # retrieve the data.frame
 peek(YPerchSB1,n=10)
 ```
 
@@ -122,55 +146,158 @@ YPerchSB1 <- YPerchSB1 |>
 peek(YPerchSB1,n=10)
 ```
 
-A frequency table can then be used to find the number of individuals in each category.
+## Use the `psdAdd()` Convenience Function
+`psdAdd()` can be used to add a length categorization variable to a data.frame for **all** species in the data.frame for which the GH length categories exists.^[Here, however, it is being applied to a data.frame with only one species.] The main argument to `psdAdd()` is a formula of the form `length~species`, where `length` is the name of the observed length variable and `species` is the name of the species variable. In these data there is no variable that identified the species, likely because the data contains only one species. Thus, before `psdAdd()` can be used in this example, a new variable with the species name was added.^[`YperchSB1` was loaded again to start without the modifications performed previously.]
+
+```{r}
+data(YPerchSB1,package="FSAdata")
+YPerchSB1 <- YPerchSB1 |>
+  mutate(spec="Yellow Perch",
+         ghcats1=psdAdd(tl~spec,units="cm"))
+peek(YPerchSB1,n=10)
+```
+
+`psdAdd()` requires that the species variable have the species names in the spelling and capitalization used by `PSDlit`. So, for example, suppose that the `YPerchSB1` species names used the abbreviation `yep` rather than `Yellow Perch`.^[Note that `YPerchSB1` is loaded again to start over and the new abbreviation is added for this example.] A named list or vector can be given to `thesaurus=` that defines how the original species names (i.e., the items to the right of the `=` in the vector) relate to the species names required by `PSDlit` (i.e., the names to the left of the `=` in the vector). `psdAdd()` will match the two names appropriately while creating the GH length categories.
 
 ```{r}
-xtabs(~ghcats2,data=YPerchSB1)
+data(YPerchSB1,package="FSAdata")
+YPerchSB1 <- YPerchSB1 |>
+  mutate(spec="yep",
+         ghcats1=psdAdd(tl~spec,units="cm",thesaurus=c("Yellow Perch"="yep")))
+peek(YPerchSB1,n=10)
 ```
 
-The reverse cumulative sum of these values, with the substock fish removed, divided by the stock-length sum times 100 are the PSD-X values.
+# Add Length Categories for Multiple Species
+The real value of `psdAdd()` is that it can be used to efficiently add length categories for multiple species in a single data.frame. This is illustrated below for a variety of scenarios.
+
+## "Good" Names and No Groups
+`InchLake2` distributed with `FSAdata` contains lengths for several species captured from Inch Lake. These data provide a simple example for using `psdAdd()` because all species names are spelled and capitalized as required (i.e., same as in `PSDlit1) and none of the species have sub-groups.^[See the next section for how to deal with these issues.] Note that lengths are in **inches** here.
 
 ```{r}
-( tmp <- rcumsum(xtabs(~ghcats2,data=YPerchSB1))[-1] )
-round(tmp/tmp["stock"]*100,1)
+data("InchLake2",package="FSAdata")  # retrieve the data.frame
+peek(InchLake2,n=10)
 ```
 
-So, for example, `r round(tmp/tmp["stock"]*100,1)[["quality"]]`\% of fish that reach stock-size also reached quality-size (i.e., "PSD-Q").
+`psdAdd()` can be used as described previously (i.e., with a formula of the form `length~species` and `units=`) to add GH length categories for all species in the data.frame for which GH length categories exist in `PSDlit`. A message will be issued identifying the species in the data.frame for which GH length categories do not exist. The new variable will show `<NA>` for those species.
 
-## Use the `psdAdd()` Convenience Function
-`psdAdd()` can be used to add a length categorization variable to a data.frame for **all** species in the data.frame for which the GH length categories exists. The main argument to `psdAdd()` is a formula of the form `length~species`, where `length` is the observed length variable and `species` is the name of the species variable. Again, the species must be spelled (and capitalized) as in `PSDlit`. In these data there is no variable that identified the species, likely because the data contains only one species. Thus, for this example, before `psdAdd()` can be used, a new variable with the species name must be added.
+```{r}
+InchLake2 <- InchLake2 |>
+  mutate(ghcats1=psdAdd(length~species,units="in"))
+peek(InchLake2,n=10)
+```
+
+Additional non-GH length categories can be used with `psdAdd()` through `addLens()` similar to what was described for `psdVal()`. However, a named list must be given to `addLens()` that has named vectors for each species for the additional lengths to be added. An example for this is given in [the documentation](https://fishr-core-team.github.io/FSA/reference/psdAdd.html) for `psdAdd()`.
+
+## "Bad" Names and No Groups
+Now consider the `Herman` data.frame (distributed with the `FSAdata` package) that has the lengths (cm) of four species -- Walleye, Yellow Perch, Black Crappie, and Black Bullhead --  from Lake Herman, SD. These four species do not have sub-groups defined in `PSDlit`. However, observing the data below^[And [the documentation](https://fishr-core-team.github.io/FSAdata/reference/Herman.html).] shows that the species variable (`spec`) contains codes for the species names rather than the names required by `PSDlit`.
+
+```{r}
+data(Herman,package="FSAdata")  # retrieve the data.frame
+peek(Herman,n=10)
+```
+
+One way to deal with the issue of "bad" species names is to use a named list or vector that defines how the names from `PSDlit` should be matched to the names in the data.frame. As before, the species names in `PSDlit` are the names in the vector (i.e., before the `=`) and the species names in the data.frame are the items in the vector (i.e., after the `=`).
+
+```{r}
+thes <- c("Walleye"="wae","Yellow Perch"="yep",
+          "Black Crappie"="bkc","Black Bullhead"="bbh")
+```
+
+This list/vector is then given to `thesaurus=` in `psdAdd()` which will perform the name matching while creating the GH length categories.
+
+```{r}
+Herman <- Herman |>
+  mutate(ghcats1=psdAdd(tl~spec,units="cm",thesaurus=thes))
+peek(Herman,n=10)
+```
+
+`thesaurus=` can be used even if only some of the species names are non-"standard." Additionally, the named list/vector in `thesaurus=` can contain names that don't exist in the original data.frame. Thus, a global thesaurus containing all species that *could* be encountered could be created, for example as an agency-wide definition, and used with a variety of specific data.frames. 
+
+## "Bad" Names and Groups
+The use of `psdAdd()` can become complicated for data.frames with species names other than what `PSDlit` expects and species for which GH lengths exist for sub-groups, especially if more than one sub-group is in the data. The hypothetical data set `PSDWRtest` distributed with `FSA` can be used to illustrate how to handle these "issues".
+
+```{r}
+peek(PSDWRtest,n=20)
+```
+
+`psdAdd()` will produce some informative error messages, but it is best that you have a full understanding of the issues that may arise with your data by carefully examining your data and understanding the GH length categories for the species in your data. The "issues" that need to be addressed with the `PSDWRtest` data are as follows:
+  
+  - "Bluegill Sunfish" was used rather than "Bluegill".
+  - "Lean Lake Trout" was used rather than "Lake Trout".
+  - Brook Trout were sampled from a lotic ("Trout Lake") system, for which there are sub-groups for GH length categories.
+  - Brown Trout were sampled from a lotic ("Trout Lake") and lentic ("Brush Creek") system, for which there are sub-groups for GH length categories.
+
+The easiest way to deal with all of these "issues" is to create a new "species" variable (i.e., `species2` below) that appends the specific groups in parentheses to the species name. There are a variety of ways to do this and which way (is best or works) may depend on the specifics of the situation. Here, `case_when()` from `dplyr` is used with a series of statements that begin with a "condition" to the left of the `~` and a new species "name" for that condition to the right of the `~`. The `.default=species` at the end will put the name from `species` into `species2` for all situations where none of the conditions above it are met (e.g., if `species` is "Yellow Perch" then `species2` will be "Yellow Perch").
 
 ```{r}
+PSDWRtest <- PSDWRtest |>
+  mutate(species2=case_when(
+           species=="Bluegill Sunfish" ~ "Bluegill",
+           species=="Lean Lake Trout" ~ "Lake Trout",
+           species=="Brown Trout" & location=="Trout Lake" ~  "Brown Trout (lotic)",
+           species=="Brown Trout" & location=="Brushy Creek" ~  "Brown Trout (lentic)",
+           species=="Brook Trout" & location=="Trout Lake" ~  "Brook Trout (lotic)",
+           .default=species
+         ))
+peek(PSDWRtest,n=20)
+```
+
+The GH length categories are added to this data.frame with `psdAdd()`, specifically noting the use of the new `species2` variable. 
+
+```{r}
+PSDWRtest$psd <- psdAdd(len~species2,data=PSDWRtest)
+peek(PSDWRtest,n=20)
+```
+
+Handling these types of "issues" in conjunction with computing relative weights is illustrated in [this companion vignette](https://fishr-core-team.github.io/FSA/articles/Computing_PSDs_and_RelativeWeights.html).
+
+
+
+# Computing PSD Summaries
+## For One Species from Length Category Variable
+PSD summaries for a single species from the GH length category variable will be illustrated with the `YPerchSB1` data.frame created above.
+
+```{r}
+data(YPerchSB1,package="FSAdata")
 YPerchSB1 <- YPerchSB1 |>
   mutate(species="Yellow Perch",
-         ghcats3=psdAdd(tl~species,units="cm"))
+         ghcats1=psdAdd(tl~species,units="cm"))
 peek(YPerchSB1,n=10)
 ```
 
-The PSD-X metrics can then be computed as before.
+A frequency table is used to find the number of individuals in each category. The substock-sized fish are immediately dropped (if they are present).
 
 ```{r}
-( tmp <- rcumsum(xtabs(~ghcats3,data=YPerchSB1))[-1] )
-round(tmp/tmp["stock"]*100,1)
+( tmp <- xtabs(~ghcats1,data=YPerchSB1) )
+( tmp <- tmp[-1] )
 ```
 
-# Using `psdCalc()` to Compute All PSD-X and PSD-X-Y Values for One Species
-All of that (in the previous sections) is a bit tedious and, more importantly, does not compute confidence intervals for the values.^[See `psdCI()` for how to compute confidence intervals from the raw data.] `psdCalc()` provides a convenient interface for computing all of the PSD metrics, with confidence intervals, for a data.frame with one species. Before illustrating `psdCalc()`, I returned to the original `YPerchSB1` data.frame without the changes made in the previous sections.
+The PSD X-Y (i.e., incremental PSD) values are computed by dividing each value in the frequency table that excludes the sub-stock fish by the sum of that frequency table multiplied by 100, which is easily accomplished with `prop.table()`.
 
 ```{r}
-#| echo: false
-data(YPerchSB1,package="FSAdata")
+( tmp <- prop.table(tmp)*100 )
 ```
+
+Thus, for example, `r round(tmp[["stock"]])`\% of fish that reached stock-size were between stock- and quality-sized (i.e,. "PSD S-Q").
+
+The PSD-X (i.e., traditional PSD) values are computed by the reverse cumulative sum (i.e., accumulating from right-to-left) on the `prop.table()` results (and dropping the results for the stock-sized fish which will always be 100).
+
 ```{r}
-peek(YPerchSB1,n=6)
+( tmp <- rcumsum(tmp)[-1] )
 ```
+
+So, for example, `r round(tmp[["quality"]],1)`\% of fish that reach stock-size also reached quality-size (i.e., "PSD-Q").
+
+## Using `psdCalc()` for One Species
+The calculations in the previous section are a bit tedious and, more importantly, do not compute confidence intervals for the values.^[See `psdCI()` for how to compute confidence intervals from the raw data.] `psdCalc()` provides a convenient interface for computing all of the PSD metrics, with confidence intervals, for a data.frame with **one** species.
+
 ```{r}
 #| echo: false
 #| results: hide
 ypres <- psdCalc(~tl,data=YPerchSB1,species="Yellow Perch",units="cm")
 ```
 
-`psdCalc()` takes a formula of the form `~length` as the first argument with the appropriate data.frame in `data=`. As with `psdVal()`, `psdCalc()` requires the correctly spelled (and capitalized) species name in `species=` and units in `units=`.^[Again, `units=` defaults to `mm`.]
+`psdCalc()` takes a formula of the form `~length` as the first argument with the appropriate data.frame in `data=`. As with `psdVal()`, `psdCalc()` requires the correctly spelled (and capitalized) species name in `species=` and units in `units=`.^[Again, `units=` defaults to `mm`.] Note in the use below that the GH length category variable is not needed (thus, the calculations below do **not** need to follow `psdAdd()`).
 
 ```{r}
 psdCalc(~tl,data=YPerchSB1,species="Yellow Perch",units="cm")
@@ -182,17 +309,13 @@ By default, PSD metrics that are 0 are dropped from the results. They can be inc
 psdCalc(~tl,data=YPerchSB1,species="Yellow Perch",units="cm",drop0Est=FALSE)
 ```
 
-The PSD-X (in contrast to PSD X-Y) values are referred to here as "traditional" PSD metrics as they show the percent of stock-sized fish that were also X-sized. For example, PSD-P is the percent of stock-sized fish that also reach preferred-size. In this example, `r ypres["PSD-P","Estimate"]`\% (95%CI: `r ypres["PSD-P","95% LCI"]`\%-`r ypres["PSD-P","95% UCI"]`\%) of stock-sized fish attained preferred size.
-
-Just the "traditional" metrics may be returned by including `what="traditional"`.
+The PSD-X (in contrast to PSD X-Y) values are referred to here as "traditional" PSD metrics as they show the percent of stock-sized fish that were also X-sized. For example, PSD-P is the percent of stock-sized fish that also reached preferred-size. In this example, `r ypres["PSD-P","Estimate"]`\% (95%CI: `r ypres["PSD-P","95% LCI"]`\%-`r ypres["PSD-P","95% UCI"]`\%) of stock-sized fish attained preferred size. Just the "traditional" metrics may be returned by including `what="traditional"`.
 
 ```{r}
 psdCalc(~tl,data=YPerchSB1,species="Yellow Perch",units="cm",what="traditional")
 ```
 
-The PSD X-Y values are referred to here as "incremental" PSD metrics as they show the percent of stock-sized fish that were between X- and Y-sized. For example, PSD Q-P is the percent of stock-sized fish that reached quality-size but had not reach preferred-size. In this example, `r ypres["PSD Q-P","Estimate"]`\% (95%CI: `r ypres["PSD Q-P","95% LCI"]`\%-`r ypres["PSD Q-P","95% UCI"]`\%) of stock-sized fish attained quality but not preferred size.
-
-Just the "incremental" metrics may be returned by including `what="incremental"`.
+The PSD X-Y values are referred to here as "incremental" PSD metrics as they show the percent of stock-sized fish that were between X- and Y-sized. For example, PSD Q-P is the percent of stock-sized fish that reached quality-size but had not reach preferred-size. In this example, `r ypres["PSD Q-P","Estimate"]`\% (95%CI: `r ypres["PSD Q-P","95% LCI"]`\%-`r ypres["PSD Q-P","95% UCI"]`\%) of stock-sized fish attained quality but not preferred size. Just the "incremental" metrics may be returned by including `what="incremental"`.
 
 ```{r}
 psdCalc(~tl,data=YPerchSB1,species="Yellow Perch",units="cm",what="incremental")
@@ -214,42 +337,17 @@ psdCalc(~tl,data=YPerchSB1,species="Yellow Perch",units="cm",
         addLens=c("minSlot"=17.5,"maxSlot"=27.5))
 ```
 
-## Using `psdPlot()` to Visualize the PSD Metrics
-`psdPlot()` can be used to produce a histogram of lengths with different colors for substock- and stock-size fish, vertical lines depicting the GH length categories, and the "traditional" PSD metrics shown. The basic arguments to `psdPlot()` are the same as those to `psdCalc()`.
-
-```{r}
-#| fig-width: 5
-#| fig-height: 4.5
-psdPlot(~tl,data=YPerchSB1,species="Yellow Perch",units="cm")
-```
-
-There may be times where the length category lines don't fall on the breaks for the histogram bars. You may be able to ameliorate this issue by changing the width of the breaks with `w=` or where the breaks start with `startcat=`.^[While this was not an issue with these data, this code shows how to make narrower bar widths with `w=`.]
-
-```{r}
-#| fig-width: 5
-#| fig-height: 4.5
-psdPlot(~tl,data=YPerchSB1,species="Yellow Perch",units="cm",w=0.5)
-```
-
-This plot is meant to be illustrative and not of "publication-quality." However, some aspects of the plot can be modified to make some changes in appearance. See `?psdPlot` for documentation of these other arguments.
-
-# Adding a Length Category Variable for All Species
-The real value of `psdAdd()` is that it can be used to efficiently add length categories for multiple species in a single data.frame. For example, `InchLake2` distributed with `FSAdata` contains lengths for several species captured from Inch Lake. Note that lengths are in **inches** here.
+## For Multiple Species from Length Category Variable
+PSD-X and PSD X-Y summaries for multiple species requires more work as will be demonstrated below with the `InchLake2` data.frame from previous. Note here that `psdAdd()` is used to add the GH length categories in `ghcats1`.
 
 ```{r}
 data("InchLake2",package="FSAdata")
-peek(InchLake2,n=10)
-```
-
-`psdAdd()` can be used as described previously (i.e., with a formula of the form `length~species` and `units=`) to add GH length categories for all species in the data.frame for which GH length categories exist in `PSDlit`. Note that a message will be issued identifying the species in the data.frame for which GH length categories do not exist. The new variable will be `NA` for these species.
-
-```{r}
 InchLake2 <- InchLake2 |>
   mutate(ghcats1=psdAdd(length~species,units="in"))
 peek(InchLake2,n=10)
 ```
 
-Summaries by species requires some work. First, remove all substock-sized individuals.
+First, remove all substock-sized individuals.
 
 ```{r}
 Inch_mod <- InchLake2 |>
@@ -257,23 +355,21 @@ Inch_mod <- InchLake2 |>
   droplevels()
 ```
 
-Incremental PSD metrics (i.e, PSD X-Y) are quickly computed with `xtabs()` and `prop.table()`.
+Incremental PSD metrics (i.e, PSD X-Y) are then computed with `xtabs()` and `prop.table()`, similar to before except that `margin=1` must be used in `prop.table()` so that the proportions are computed from the row totals.
 
 ```{r}
-freq <- xtabs(~species+ghcats1,data=Inch_mod)
+( freq <- xtabs(~species+ghcats1,data=Inch_mod) )
 iPSDs <- prop.table(freq,margin=1)*100
 round(iPSDs,1)
 ```
 
-Traditional PSD metrics (i.e., PSD-X) can be found by `apply()`ing `rcumsum()`^[This finds reverse cumulative sums; i.e., sums from end-to-start, rather than start-to-end.] to each row (i.e., `MARGIN=1`) of the PSD X-Y values. The result from `apply()` will be oriented opposite of what is desired (i.e., species a columns rather than rows), so it should be `t()`ransposed.
+Traditional PSD metrics (i.e., PSD-X) are found by `apply()`ing `rcumsum()`^[This finds reverse cumulative sums; i.e., sums from end-to-start, rather than start-to-end.] to each row (i.e., `MARGIN=1`) of the PSD X-Y values. The result from `apply()` will be oriented opposite of what is desired (i.e., species in columns rather than rows), so it should be transposed with `t()`.
 
 ```{r}
 tPSDs <- t(apply(iPSDs,MARGIN=1,FUN=rcumsum))
 round(tPSDs,1)
 ```
 
-Additional non-GH length categories can be used with `psdAdd()` through `addLens()` similar to what was described for `psdVal()` and `psdCalc()`. However, a named list must be given to `addLens()` that as named vectors for each species for what an additional length is added. An example for this is given in the documentation for `psdAdd()`.
-
 The use of `psdAdd()` is fairly efficient if interest is only in the point PSD-X or PSD X-Y values. If one needs confidence intervals for these values then it is probably best to use `psdCalc()` on separate data.frames for each species. This is demonstrated below for Yellow Perch and Bluegill from the Inch Lake data.
 
 ```{r}
@@ -281,9 +377,26 @@ InchYP <- InchLake2 |> filter(species=="Yellow Perch")
 psdCalc(~length,data=InchYP,species="Yellow Perch",units="in")
 ```
 
-
 ```{r}
 InchBG <- InchLake2 |> filter(species=="Bluegill")
 psdCalc(~length,data=InchBG,species="Bluegill",units="in")
 ```
 
+## Using `psdPlot()` to Visualize the PSD Metrics
+`psdPlot()` can be used to produce a histogram of lengths with different colors for substock- and stock-size fish, vertical lines depicting the GH length categories, and the "traditional" PSD metrics shown. The basic arguments to `psdPlot()` are the same as those to `psdCalc()`.
+
+```{r}
+#| fig-width: 5
+#| fig-height: 4.5
+psdPlot(~tl,data=YPerchSB1,species="Yellow Perch",units="cm")
+```
+
+There may be times where the length category lines don't fall on the breaks for the histogram bars. You may be able to ameliorate this issue by changing the width of the breaks with `w=` or where the breaks start with `startcat=`.^[While this was not an issue with these data, this code shows how to make narrower bar widths with `w=`.]
+
+```{r}
+#| fig-width: 5
+#| fig-height: 4.5
+psdPlot(~tl,data=YPerchSB1,species="Yellow Perch",units="cm",w=0.5)
+```
+
+This plot is meant to be illustrative and not of "publication-quality." However, some aspects of the plot can be modified to make some changes in appearance. See `?psdPlot` for documentation of these other arguments.
diff --git a/vignettes/articles/Computing_PSDs_and_RelativeWeights.qmd b/vignettes/articles/Computing_PSDs_and_RelativeWeights.qmd
new file mode 100644
index 00000000..cadf39be
--- /dev/null
+++ b/vignettes/articles/Computing_PSDs_and_RelativeWeights.qmd
@@ -0,0 +1,87 @@
+---
+title: "Computing PSD and Relative Weight Metrics in FSA"
+author: "Derek H. Ogle"
+date: "`r Sys.Date()`"
+format: 
+  html: 
+    toc: true
+    toc-depth: 2
+    reference-location: margin
+    fig-cap-location: bottom
+    tbl-cap-location: top
+knitr:
+  opts_chunk:
+    collapse: true
+    comment: '#>'
+---
+
+# Introduction
+Other vignettes introduced using `FSA` to compute [proportional size distribution (PSD)](https://fishr-core-team.github.io/FSA/articles/Computing_PSDs.html) and [relative weight (i.e., condition)](https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html) metrics. Both of those vignettes mentioned some peculiarities in their methodology related to when PSDs and relative weights were computed concurrently on the same data that contained some "issues." These peculiarities and issues are explained further and how to handle them are illustrated here. I urge you to explore those other vignettes before continuing here.
+
+The following packages are used herein. Note that the `FSA` functions described here were modified after version 0.9.6 and are thus **specific to FSA >v0.9.6**.
+
+```{r}
+#| label: setup
+#| results: hide
+#| message: false
+library(FSA)
+library(dplyr)  # mutate, select, filter, case_when
+```
+
+# Data
+The hypothetical `PSDWRtest` data.frame distributed with `FSA` was created to purposely provide data for a variety of species that were realistic but created some issues for the `psdAdd()` and `wrAdd()` functions described in the other vignettes.
+
+```{r}
+peek(PSDWRtest,n=20)
+```
+
+Ultimately it is best that you have a full understanding of the issues that may arise with your data by carefully examining your data and understanding the Gabelhouse (GH) length categories and relative weight equations for the species in your data. There are several "issues" that need to be addressed with the `PSDWRtest` data.
+
+First, Bluegill and Lake Trout exist in `PSDlit` and `WSlit` but appear as "Bluegill Sunfish" and "Lean Lake Trout" in `PSDWRtest`.
+
+Second, Brook Trout were sampled from a lotic ("Trout Lake") system and Brown Trout were sampled from a lotic ("Trout Lake") and a lentic ("Brush Creek") system. There are separate GH length categories and standard weight equations for these sub-groups for each species. 
+
+Third, Muskellunge and Walleye provide a challenge because standard weight equations differ among sub-groups for each of these species, but the GH length categories do not differ among sub-groups. Walleye use separate standard weight equations depending on whether the individual's total length is less than 150 mm or not. Muskellunge have a sex-specific standard weight equation for when sex is known, but an overall equation for when sex is unknown. As will be seen, a new species variable will be created that incorporates the subgroup name into the "species name" for calculating standard weights (as was illustrated in [this vignette](https://fishr-core-team.github.io/FSA/articles/Computing_Relative_Weights.html)). Because the GH length categories don't differ by sub-group for either of these species, these new names are not needed when finding the GH length categories. However, for simplicity (as illustrated further below), these GH length categories have been duplicated for the sub-groups of each species and labelled with the combined species and sub-group name. This is illustrated below for muskellunge.
+
+```{r}
+wsVal("Muskellunge (overall)")  # different from next two
+wsVal("Muskellunge (female)")
+wsVal("Muskellunge (male)")
+psdVal("Muskellunge (overall)") # exact same as next two
+psdVal("Muskellunge (female)")
+psdVal("Muskellunge (male)")
+```
+
+Fourth, Ruffe for which the reference quantile of the standard weight equation must be specified.
+
+# Adding GH Length Category and Wr Variables
+The easiest way to deal with all of these "issues" except for the one related to Ruffe is to create a new "species" variable (i.e., `species2` below) that appends the specific sub-groups in parentheses to the species name. There are a variety of ways to do this and which way (is best or works) may depend on the specifics of the situation. Here, we use `case_when()` from `dplyr` with a series of statements that begin with a "condition" to the left of the `~` and new species "name" for that condition to the right of the `~`. The `.default=species` at the end puts the name from `species` into `species2` for all situations where none of the conditions above it are met (e.g., if `species` is "Yellow Perch" then `species2` will be "Yellow Perch").
+
+```{r}
+PSDWRtest <- PSDWRtest |>
+  mutate(species2=case_when(
+           species=="Bluegill Sunfish" ~ "Bluegill",
+           species=="Lean Lake Trout" ~ "Lake Trout",
+           species=="Brown Trout" & location=="Trout Lake" ~  "Brown Trout (lotic)",
+           species=="Brown Trout" & location=="Brushy Creek" ~  "Brown Trout (lentic)",
+           species=="Brook Trout" & location=="Trout Lake" ~  "Brook Trout (lotic)",
+           species=="Muskellunge" & sex=="M" ~ "Muskellunge (male)",
+           species=="Muskellunge" & sex=="F" ~ "Muskellunge (female)",
+           species=="Muskellunge" & sex=="U" ~ "Muskellunge (overall)",
+           species=="Muskellunge" & is.na(sex) ~ "Muskellunge (overall)",
+           species=="Walleye" & len>=150 ~ "Walleye (overall)",
+           species=="Walleye" & len<150 ~ "Walleye (30-149 mm)",
+           .default=species
+         ))
+peek(PSDWRtest,n=20)
+```
+
+The GH length categories and relative weights for each fish (for species with standard weight equations) is added to this data.drame with `psdAdd()` and `wrAdd()` as described in the other vignettes, specifically noting the use of the "new" species variable `species2`. Further note the use of `wsOpts=` to define which reference quantile to use for the Ruffe standard weight equation.
+
+```{r}
+PSDWRtest$psd <- psdAdd(len~species2,data=PSDWRtest)
+PSDWRtest$wr <- wrAdd(wt~len+species2,data=PSDWRtest,
+                      WsOpts=list(Ruffe=list(ref=75)))
+peek(PSDWRtest,n=20)
+```
+
diff --git a/vignettes/articles/Computing_Relative_Weights.qmd b/vignettes/articles/Computing_Relative_Weights.qmd
index 430a5abf..d91f603a 100644
--- a/vignettes/articles/Computing_Relative_Weights.qmd
+++ b/vignettes/articles/Computing_Relative_Weights.qmd
@@ -29,11 +29,11 @@ The following packages are used herein. Note that the `FSA` functions described
 #| results: hide
 #| message: false
 library(FSA)
-library(dplyr)  # mutate, select, group_by, summarize
+library(dplyr)  # mutate, select, group_by, summarize, case_when
 ```
 
 
-# Standard Weight Equations
+# Looking Up Standard Weight Equations
 Equations for computing the standard weight (i.e., $Ws_i$) from an individual fish's observed length (i.e., $L_i$) have been derived for a number of freshwater game fish in the United States, as well as several non-game fish in the United States and some other fish from outside of the United States. The specifics of these equations have been collated into the `WSlit` data.frame^[Specifics [here](https://fishr-core-team.github.io/FSA/reference/WSlit.html).] distributed with `FSA` and are most easily accessed with `wsVal()`. For example, the specifics of the standard weight equation for Bluegill are retrieved below.
 
 ```{r}
@@ -42,13 +42,13 @@ wsVal("Bluegill")
 
 The results returned from `wsVal()` are:
 
-- `species`: species of fish asked for. If left blank then a list of all species for which a standard weight equation exists in `WSlit` will be shown.
+- `species`: species of fish asked for.
 - `group`: the sub-group for the species. Some species have separate standard weight equations for sub-groups (e.g,. `male` or `female`, or `lentic` and `lotic`). If `group` does not appear in the output then there is no sub-group for that species (as illustrated here). The sub-group can be chosen with `group=` in `wsVal()` as demonstrated later.^[Leave `group=` at the default `NULL` for species without sub-group equations.]
-- `measure`: the length measure used (will generally be `TL` for total length, but could be `FL` for fork length, `BL` for body length, or `CL` for caudal length depending on the species).
-- `units`: the units for which the equation was developed. The default is `metric` which has length in mm and weight in grams. However, `English` can also be used which has lengths in inches and weight in pounds. These are the only two "units" for which the equation can be returned; thus, if you recorded lengths and weights in different units you will need to adjust your data accordingly (or adjust the standard weights computed from the equations (see below) accordingly).
-- `ref`: the quantile used when developing the standard weight equation. The 75th percentile is used for most species, but some species have alternatives (50th or 25th percentile). Alternatives for a species can be chosen with `ref=` in `wsVal()`.^[For species with only one possible `ref`, then `ref=` should be left at the default `NULL`.]
-- `method`: the method used to develop the standard weight equation. This will usually be `RLP` (regression-line-percentile) or `EmP` (empirical percentile) but is `Other` only for Bluegill, as shown here. Some (very few) species have equations for both methods. In these instances, you will need to choose which to use with `method=` in `wsVal()`.^[For species where only one method is available then leave `method=` at the default `NULL`.]
-- `min.TL`: the minimum length for which the standard weight equation is appropriate.^[The postfix after the period will be replaced with the `measure` type ( (here `TL` but for some species `FL`, `BL`, or `CL`)).]
+- `measure`: the length measure used (will generally be `TL` for total length, but depending on the species could be `FL` for fork length, `BL` for body length, or `CL` for caudal length).
+- `units`: the units for which the equation was developed. The default is `metric` which has length in mm and weight in grams. However, `English` can also be used which has lengths in inches and weight in pounds.^[A few species have an equation for only one set of units.] These are the only two "units" for which the equation can be returned; thus, if you recorded lengths and weights in different units you will need to adjust your data accordingly (or adjust the standard weights computed from the equations (see below) accordingly).
+- `ref`: the quantile used when developing the standard weight equation. The 75th percentile is used for most species, but some species have alternatives (50th or 25th percentile).^[Alternatives for a species can be chosen with `ref=` in `wsVal()`. For species with only one possible `ref`, then `ref=` should be left at the default `NULL`.]
+- `method`: the method used to develop the standard weight equation. This will usually be `RLP` (regression-line-percentile) or `EmP` (empirical percentile) but is `Other` only for Bluegill, as shown here. Some (very few) species have equations for both methods.^[For species with multiple `method`s, you will need to choose which to use with `method=` in `wsVal()`. For species where only one method is available then leave `method=` at the default `NULL`.]
+- `min.TL`: the minimum length for which the standard weight equation is appropriate.^[The postfix after the period will be replaced with the `measure` type (here `TL` but for some species `FL`, `BL`, or `CL`).]
 - `max.TL`: the maximum length for which the standard weight equation is appropriate. Maximum lengths have not been specified for all species and, thus, may not appear in all outputs (e.g., for Bluegill here).
 - `int`: the intercept, **on the common logarithm (i.e., log10) scale**, for the standard weight equation.
 - `slope`: the slope, **on the log10 scale**, for the standard weight equation.
@@ -68,7 +68,7 @@ Blue Sucker is an example where some of the "optional" values are returned (e.g.
 wsVal("Blue Sucker",units="English")
 ```
 
-Use of `wsVal()` requires spelling (and capitalizing) the name as it appears in `WSlit`. One can see all species names available in `WSlit` with `wsVal()` without any arguments.
+Use of `wsVal()` requires spelling (and capitalizing) the species name as it appears in `WSlit`. One can see all species names available in `WSlit` with `wsVal()` without any arguments.
 
 ```{r}
 wsVal()
@@ -82,7 +82,7 @@ wsVal("Blue sucker")
 wsVal("Blue suckr")
 ```
 
-It is also not always obvious whether a species has equations for sub-groups or not.^[But see @tbl-species_issues.] One way to deal with this is to just ask for the equation for your species of interest without using `group=`. If sub-groups exist then you will get an error message asking you to choose which sub-group to use.
+It is also not always obvious whether a species has equations for sub-groups or not. One way to deal with this is to just ask for the equation for your species of interest without using `group=`. If sub-groups exist then you will get an error message asking you to choose which sub-group to use.
 
 ```{r}
 #| error: true
@@ -95,7 +95,13 @@ Then try again by choosing the sub-group with `group=`.
 wsVal("Brown Trout",group="lentic")
 ```
 
-The same general process can be used for species that have equations developed from multiple methods.
+These same species and sub-group combinations can be also accessed by combining the species name and sub-group name (in parenthesis) into the first argument (and then not using `group=`).
+
+```{r}
+wsVal("Brown Trout (lotic)")
+```
+
+The same general process can be used for species that have equations developed from multiple methods; though, only the sub-group identifiers can be combined (with parentheses) in the species name and used in the first argument.
 
 ```{r}
 #| error: true
@@ -111,41 +117,33 @@ wsVal("Ruffe")
 wsVal("Ruffe",ref=50)
 ```
 
-## Cautions
-@tbl-species_issues shows species for which multiple standard weight equations exist in `WSlit` such that the specific one must be chosen by using `group=`, `method=`, or `ref=` in `wsVal()`.
+There are two species (Chinook Salmon and Striped Bass) that appear to have sub-groups (i.e., "landlocked") but only that one specific sub-group appears in `WSlit`. The standard weight literature for these species did not identify the equation as only being for "landlocked" populations. However, these entries were added to facilitate use when calculating proportional size distribution (PSD) metrics,^[See [this vignette](https://fishr-core-team.github.io/FSA/articles/Computing_PSDs.html).] which were defined just for "landlocked" populations, and relative weight metrics with the same data.frame.^[As illustrated in [this companion vignette](https://fishr-core-team.github.io/FSA/articles/Computing_PSDs_and_RelativeWeights.html).] The standard weight equations for these species can be accessed by either just the species name or the species name with the group in parentheses. However, note that they are the exact same information.
 
+```{r}
+wsVal("Striped Bass")
+wsVal("Striped Bass (landlocked)")
+```
 
-| Species | Cause of Multiple Equations |
-|:-----|:--------------------|
-| Arctic Grayling | Multiple `method`s exist |
-| Bigmouth Sleepers | Sub-`group`s exist; multiple `ref`erence values |
-| Brook Trout | Sub-`group`s exist |
-| Brown Trout | Sub-`group`s exist |
-| Cutthroat Trout | Sub-`group`s exist |
-| Mountain Mullet | Multiple `ref`erence values |
-| Muskellunge | Sub-`group`s exist |
-| Paddlefish | Sub-`group`s exist |
-| Rainbow Trout | Sub-`group`s exist |
-| River Goby | Multiple `ref`erence values |
-| Ruffe | Multiple `ref`erence values |
-| Sardine | Multiple `ref`erence values |
-| Spotted Bass | Sub-`group`s exist |
-| Walleye | Sub-`group`s exist |
+There are also a few species where an original standard weight equation has been revised in  the literature. The original and revised equations are available in `WSlit` with the revised equations accessed by just using the species name and the original equations accessed by appending "(original)" to the species name.
 
-: Species for which the user will have to select among multiple standard weight equations by using `group=`, `method=`, or `ref=` in `wsVal()`. {#tbl-species_issues}
+```{r}
+wsVal("Spotted Bass")             # revised definitions
+wsVal("Spotted Bass (original)")
+```
 
+We strongly urge you to have a good understanding of the standard weight literature for your species' of interest and make sure that `wsVal()` is returning the values that you expect.
 
 # Calculate Individual Relative Weight
-## Example with Linear Equation
-The specifics of the standard weight equation returned by `wsVal()` can be used to compute the standard weight for a fish given its observed length. As an example, suppose that the relative weight of a Largemouth Bass with an observed length and weight of 350 mm and 650 g is desired.
+## For Typical Linear Equation
+The specifics of the standard weight equation returned by `wsVal()` can be used to compute the standard weight for a fish given its observed length. As an example, suppose that the relative weight of a Largemouth Bass with an observed length of 350 mm and weight of 650 g is desired.
 
 Begin by assigning the specifics of the standard weight equation for Largemouth Bass returned by `wsVal()` to an object (e.g., `wsLMB` here).
 
 ```{r}
-wsLMB <- wsVal("Largemouth Bass")
+( wsLMB <- wsVal("Largemouth Bass") )
 ```
 
-The intercept and slope for the standard weight equation on the **log10-log10** scale can be extracted from this object.
+The intercept and slope for the standard weight equation on the **log10-log10** scale can be extracted from this object.^[The double-brackets (i.e., `[[]]`) are used to remove the name (e.g., `int`) from the returned value.]
 
 ```{r}
 wsLMB[["int"]]
@@ -158,16 +156,16 @@ The standard weight is then computed from these results and the **log10-transfor
 ( ex1 <- 10^(wsLMB[["int"]]+wsLMB[["slope"]]*log10(350)) )
 ```
 
-This calculation suggests that standard weight for a 250 mm Largemouth Bass is `r formatC(ex1,format="f",digits=1)` g. With this and @eq-Wri, the relative weight for this individual can be computed (recalling that the observed weight was 650 g).
+This calculation suggests that the standard weight for a 350 mm Largemouth Bass is `r formatC(ex1,format="f",digits=1)` g. With this and @eq-Wri, the relative weight for this individual is computed (recalling that the observed weight was 650 g).
 
 ```{r}
 100*650/ex1
 ```
 
-This indicates that the individual is heavier than a standard fish of the same length as this values is greater than 100.
+This indicates that the individual is (slightly) heavier than a "standard fish" of the same length as this values is greater than 100.
 
-## Example with Quadratic Equation
-A similar process can be followed for species where the standard weight equation includes a quadratic term. The only "trick" here is to include the quadratic term multiplied by the **square** of the log10-transformed observed length when computing the standard weight. This calculation is illustrated below with a 500 mm and 1010 g Blue Sucker.
+## For Quadratic Equation
+A similar process can be followed for a species where the standard weight equation includes a quadratic term. The only "trick" here is to include the quadratic term multiplied by the **square** of the log10-transformed observed length when computing the standard weight. This calculation is illustrated below with a 500 mm and 1010 g Blue Sucker.
 
 ```{r}
 ( wsBS <- wsVal("Blue Sucker",simplify=TRUE) )
@@ -186,24 +184,21 @@ A few things to consider when calculating relative weights for individuals.
 # Calculate Relative Weights for All of One Species
 It is not common to compute the standard and relative weights for a single individual as was done in the previous section. Rather, it is more useful to calculate these values for all individuals in a sample, and then summarize those values for an overall assessment of the condition of those individuals.
 
-Consider the `CiscoTL` data.frame distributed with the `FSAdata` package that contains the lengths (mm) and weights (g) of Cisco (*Coregonus artedii*) sampled from Trout Lake, WI, USA over a 25 year period.
+Consider the `CiscoTL` data.frame distributed with the `FSAdata` package that contains the lengths (mm) and weights (g) of Cisco (*Coregonus artedii*) sampled from Trout Lake, WI, USA over a 25 year period. Note that there are many missing weights in this data.frame.
 
 ```{r}
-data("CiscoTL",package="FSAdata")
-str(CiscoTL)
+data("CiscoTL",package="FSAdata")  # retrieve the data.frame
 peek(CiscoTL,n=10)
 ```
 
-Note that there are lots of missing weights in this data.frame.
-
 ## "Manual" Calculations
-The relative weight calculation begins by finding the specifics of the standard weight equation for Cisco.
+The relative weight calculation begins by finding the specifics of the standard weight equation for Cisco and assigning them to an object (here, `wsC`).
 
 ```{r}
 ( wsC <- wsVal("Cisco") )
 ```
 
-Two new variables -- `Ws` for standard weight and `Wr` for relative weight -- are added to the data.frame in three steps below. First, `Ws` is calculated using the coefficients from the standard weight equation and the log-transformed length variable as shown above (but within `mutate()` from `dplyr`). Second, if the observed length is less than the minimum length for which the standard weight equation should be applied, then the previously calculated `Ws` is replaced with an `NA` (for missing value). Finally, the relative weight is computed from the observed weight and standard weight variables using @eq-Wri.
+Two new variables -- `Ws` for standard weight and `Wr` for relative weight -- are added to the data.frame in three steps below. First, `Ws` is calculated using the coefficients from the standard weight equation and the log-transformed length variable as shown above (but within `mutate()` from `dplyr`). Second, if the observed length is less than the minimum length for which the standard weight equation should be applied, then the previously calculated `Ws` is replaced with an `NA` (for missing value).^[These two steps could have been combined by replacing `Ws` with the calculation in `ifelse()`.] Finally, the relative weight is computed from the observed weight and standard weight variables using @eq-Wri.
 
 ```{r}
 CiscoTL <- CiscoTL |>
@@ -213,38 +208,30 @@ CiscoTL <- CiscoTL |>
 peek(CiscoTL,n=10)
 ```
 
-As an illustration, the mean and standard deviation of relative weights are computed below (along with `validn` which is the number of non-`NA` (i.e., non-missing) relative weights).^[More interesting summaries and plots may be constructed with these data. This is just an example of summarizing relative weights for a sample.] These results suggest that this population of Cisco is substantially "skinnier" (i.e., under-weight) than the standard for the species (because the mean relative weight is substantially less than 100).
-
-```{r}
-CiscoTL |>
-  summarize(validn=sum(!is.na(Wr)),
-            mnWr=mean(Wr,na.rm=TRUE),
-            sdWr=sd(Wr,na.rm=TRUE))
-```
-
 ## Using the `WrAdd()` Convenience Function
-`wrAdd()` can be used to add a relative weight variable to a data.frame for **all** species in the data.frame for which a standard weight equation exists. The main argument to `wrAdd()` is a formula of the form `weight~length+species` where `weight` is the observed weight variable, `length` is the observed length variable, and `species` is the name of the species variable. One constraint here is that the species must be spelled (and capitalized) as in `WSlit`. In these data for Cisco, the species name is in `spname` but the species is all capital letters as "CISCO", rather than the required "Cisco". `capFirst()`^[From `FSA`.] may be used to convert a word to a form where just the first letter is capitalized, and  is used below.^[Note that the `CiscoTL` data.frame was re-read so that the additions in the previous section were removed.]
+`wrAdd()` can be used to add a relative weight variable to a data.frame for **all** species in the data.frame for which a standard weight equation exists.^[Though its use is illustrated here on a data.frame with only one species. See the next sections for an example with more species.] The main argument to `wrAdd()` is a formula of the form `weight~length+species` where `weight` is the name of the observed weight variable, `length` is the name of the observed length variable, and `species` is the name of the species variable. One constraint here is that the species names in the `species` variable must be spelled (and capitalized) exactly as in `WSlit`. In these data, the species name is in `spname` but is in all capital letters as "CISCO", rather than the required "Cisco". `capFirst()`^[From `FSA`.] may be used to convert a word to a form where just the first letter is capitalized, and  is used below.^[Note that the `CiscoTL` data.frame was re-read so that the additions in the previous section were removed.]
 
 ```{r}
-#| echo: false
 data("CiscoTL",package="FSAdata")
-```
-```{r}
 CiscoTL <- CiscoTL |>
   mutate(Wr=wrAdd(weight~length+capFirst(spname)))
 peek(CiscoTL,n=10)
 ```
 
-`wrAdd()` deals with species that have more than one standard weight equation^[As illustrated previuosly.] with `WsOpts=`. For example, consider adding a relative weight variable to the `RuffeSLRH92` data.frame distributed with `FSAdata`.
+A more general approach to deal with species that are spelled differently than expected in `WSlit` is to provide a named list or vector that defines how the original species names (i.e., the items in the vector to the right of the `=`) relate to the species names required by `WSlit` (i.e., the names in the vector to the left of the `=`) to `thesaurus=`. `wrAdd()` will match the two names appropriately while creating the relative weight variable.
 
 ```{r}
-data("RuffeSLRH92",package="FSAdata")
-str(RuffeSLRH92)
+CiscoTL <- CiscoTL |>
+  mutate(Wr2=wrAdd(weight~length+spname,thesaurus=c("Cisco"="CISCO")))
+peek(CiscoTL,n=10)
 ```
 
-Note that there is no species variable, which is needed by `wrAdd()`.^[Note that `wrAdd()` is more convenient for data.frames with multiple species as will be illustrated in the next section.] Additionally, for simplicity of presentation, I removed several other variables that are not needed for this example.
+`thesaurus=` can be used even if only some of the species names are non-"standard." Additionally, the named list/vector in `thesaurus=` can contain names that don't exist in the original data.frame. Thus, a global thesaurus containing all species that *could* be encountered could be created, for example as an agency-wide definition, and used with a variety of specific data.frames. 
+
+`wrAdd()` handles species that have more than one standard weight equation^[As described previously.] with `WsOpts=`. For example, consider adding a relative weight variable to the `RuffeSLRH92` data.frame distributed with `FSAdata`. Note that there is no species variable, which is needed by `wrAdd()`, so one was added with `mutate()`.^[Note that `wrAdd()` is more convenient for data.frames with multiple species as will be illustrated in the next section.] Additionally, for simplicity of presentation, I removed several other variables (with `select()`) that are not needed for this example.
 
 ```{r}
+data("RuffeSLRH92",package="FSAdata")  # retrieve the data.frame
 RuffeSLRH92 <- RuffeSLRH92 |>
   mutate(species="Ruffe") |>
   select(species,length,weight,sex)
@@ -268,29 +255,116 @@ peek(RuffeSLRH92,n=10)
 ```
 
 # Calculate Relative Weights for All of Multiple Species
-The real value of `wrAdd()` is that it can be used to efficiently add a relative weight variable for multiple species in a single data.frame. For example, `InchLake2` distributed with `FSAdata` contains lengths and weights for several species captured from Inch Lake.
+The real value of `wrAdd()` is that it can be used to efficiently add a relative weight variable for multiple species in a single data.frame. This is illustrated below for a variety of scenarios.
+
+## "Good" Names and No Groups
+`InchLake2` distributed with `FSAdata` contains lengths and weights for several species captured from Inch Lake. These data provide a simple example for using `wrAdd()` because all species names are spelled as required and none of the species have sub-groups.^[See the next section for how to deal with these issues.]
 
 ```{r}
-data("InchLake2",package="FSAdata")
+data("InchLake2",package="FSAdata")  # retrieve the data.frame
 peek(InchLake2,n=10)
 ```
 
-One oddity of these data is that length was recorded in inches, whereas weight was recorded in grams. The standard weight equations either use inches and pounds or millimeters and grams. In this case, I converted the inches to mm first, and then added the relative weight variable with `wrAdd()` as before.
+A complication here is that length and weight are in "mixed" units; i.e., inches for length and grams for weight. One or the other must be converted to the same unit type. Below length is converted to mm before `wrAdd()` is used to add a relative weight variable.
 
 ```{r}
 InchLake2 <- InchLake2 |>
-  mutate(lenmm=length*25.4,
-         Wr=wrAdd(weight~lenmm+species))
+  mutate(length=length*25.4,
+         Wr=wrAdd(weight~length+species))
+peek(InchLake2,n=10)
+```
+
+Note that species without known standard weight equations in `WSlit` (e.g., Bluntnose Minnow) will have `NA` for the relative weight variable, as will individuals with lengths outside the range of lengths for which the standard weight equation should be applied.
+
+## "Bad" Names and No Groups
+Now consider the `BGHRfish` data.frame (distributed with the `FSAdata` package) that has the lengths (mm) and weights (g) of three species -- Smallmouth Bass, Largemouth Bass, and Bluegill --  from Big Hill Reservoir, KS. These three species do not have sub-groups defined in `WSlit`, but upon observing the data below^[And [the documentation](https://fishr-core-team.github.io/FSAdata/reference/Herman.html).] it is seen that the species variable (`specCode`) contains codes for the species names rather than the names required by `PSDlit`.
+
+```{r}
+data(BGHRfish,package="FSAdata")  # retrieve the data.frame
+peek(BGHRfish,n=10)
+```
+
+One way to deal with the issue of "bad" species names is to use a named list or vector that defines how the names from `WSlit` should be matched to the names in the data.frame. For this purpose, the species names in `WSlit` are the names in the vector (i.e., before the `=`) and the species names in the data.frame are the items in the vector (i.e., after the `=`).^[The numeric species codes are in parentheses as `specCode` will be converted to a string before using `wrAdd()`.]
+
+```{r}
+thes <- c("Smallmouth Bass"="116","Largemouth Bass"="118","Bluegill"="122")
+```
+
+This list/vector is then given to `thesaurus=` in `wrAdd()` which will perform the name matching while creating the GH length categories. However, one complicating factor with these data is that `wrAdd()` expects a string in `species` (and, thus, `thesaurus=`) rather than a numeric like `specCode`. Thus, `specCode` is converted to a character below before using `wrAdd()`.
+
+```{r}
+BGHRfish <- BGHRfish |>
+  mutate(specCode=as.character(specCode),
+         Wr=wrAdd(weight~length+specCode,thesaurus=thes))
+peek(BGHRfish,n=10)
+```
+
+## "Bad" Names, Groups, and Multiple Equations
+The use of `wrAdd()` can become complicated for data.frames with species names other than what `WSlit` expects, with species for which standard weight equations exist for sub-groups, especially if more than one sub-group is in the data, and for species with multiple standard weight equations. The hypothetical data set `PSDWRtest` distributed with `FSA` can be used to illustrate how to handle these "issues".
+
+```{r}
+peek(PSDWRtest,n=20)
+```
+
+`wrAdd()` will produce some informative error messages, but it is best that you have a full understanding of the issues that may arise with your data by carefully examining your data and understanding the standard weight (and Gabelhouse length categories) for the species in your data. The "issues" that need to be addressed with the `PSDWRtest` data are as follows:
+  
+  - "Bluegill Sunfish" was used rather than "Bluegill".
+  - "Lean Lake Trout" was used rather than "Lake Trout".
+  - Brook Trout sampled from a lotic ("Trout Lake") system, for which there are standard weight equations for sub-groups.
+  - Brown Trout sampled from a lotic ("Trout Lake") and lentic ("Brush Creek") system, for which there are standard weight equations for sub-groups.
+  - Muskellunge for which sex is known for some and not for others, and there is a desire to use the sex-specific standard weight equation when sex is known (and use the overall equation when it is not).
+  - Walleye of sizes for which separate standard weight equations may be used.
+  - Ruffe for which the reference quantile of the standard weight equation must be specified.
+
+The easiest way to deal with most of these "issues" is to create a new "species" variable (i.e., `species2` below) that appends the specific groups in parentheses to the species name. There are a variety of ways to do this and which way (is best or works) may depend on the specifics of the situation. Here, we primarily use `case_when()` from `dplyr` with a series of statements that begin with a "condition" to the left of the `~` and new species "name" for that condition to the right of the `~`. The `.default=species` at the end puts the name from `species` into `species2` for all situations where none of the conditions above it are met (e.g., if `species` is "Yellow Perch" then `species2` will be "Yellow Perch").
+
+```{r}
+PSDWRtest <- PSDWRtest |>
+  mutate(species2=case_when(
+           species=="Bluegill Sunfish" ~ "Bluegill",
+           species=="Lean Lake Trout" ~ "Lake Trout",
+           species=="Brown Trout" & location=="Trout Lake" ~  "Brown Trout (lotic)",
+           species=="Brown Trout" & location=="Brushy Creek" ~  "Brown Trout (lentic)",
+           species=="Brook Trout" & location=="Trout Lake" ~  "Brook Trout (lotic)",
+           species=="Muskellunge" & sex=="M" ~ "Muskellunge (male)",
+           species=="Muskellunge" & sex=="F" ~ "Muskellunge (female)",
+           species=="Muskellunge" & sex=="U" ~ "Muskellunge (overall)",
+           species=="Muskellunge" & is.na(sex) ~ "Muskellunge (overall)",
+           species=="Walleye" & len>=150 ~ "Walleye (overall)",
+           species=="Walleye" & len<150 ~ "Walleye (30-149 mm)",
+           .default=species
+         ))
+peek(PSDWRtest,n=20)
+```
+
+The relative weights for each fish (for species with standard weight equations) is added to this data.drame with `wrAdd()` as described above, noting the use of the "new" species variable `species2`. Further note the use of `wsOpts=` to define which reference quantile to use for the Ruffe standard weight equation.
+
+```{r}
+PSDWRtest$wr <- wrAdd(wt~len+species2,data=PSDWRtest,
+                      WsOpts=list(Ruffe=list(ref=75)))
+peek(PSDWRtest,n=20)
 ```
 
-The mean and sd of relative weight by species is shown below. It is important to carefully examine these results because a species could have no mean relative weight calculated because there is no standard weight equation for that species (in `WSlit`) or because the species name is not spelled as expected (in `WSlit`). The four species with no mean relative weight below all do, indeed, not have a known standard weight equation.
+
+# Summarizing Relative Weights
+## Single Species
+As an illustration, the mean and standard deviation of relative weights for Cisco (in `CiscoTL` from above) are computed below (along with `validn` which is the number of non-`NA` (i.e., non-missing) relative weights).^[More interesting summaries and plots may be constructed with these data. This is just an example of summarizing relative weights for a sample.] These results suggest that this population of Cisco is substantially "skinnier" (i.e., under-weight) than the standard for the species (because the mean relative weight is substantially less than 100).
 
 ```{r}
-InchLake2 |>
-  group_by(species) |>
+CiscoTL |>
   summarize(validn=sum(!is.na(Wr)),
             mnWr=mean(Wr,na.rm=TRUE),
-            sdWr=sd(Wr,na.rm=TRUE)) |>
-  as.data.frame()
+            sdWr=sd(Wr,na.rm=TRUE))
 ```
 
+## Multiple Species
+The mean and sd of relative weight for all species in `PSDWRtest` from above is shown below. It is important to carefully examine these results because a species could have no mean relative weight calculated because there is no standard weight equation for that species (in `WSlit`) or because the species name is not spelled as expected (in `WSlit`). The only species below with no mean relative weight (i.e., Iowa Darter) does, indeed, not have a known standard weight equation.
+
+```{r}
+PSDWRtest |>
+  group_by(species,location) |>
+  summarize(validn=sum(!is.na(wr)),
+            mnWr=mean(wr,na.rm=TRUE),
+            sdWr=sd(wr,na.rm=TRUE)) |>
+  as.data.frame()
+```