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<!DOCTYPE html>
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8"/>
<title>DOG MICROBIOME BASIC ANALYSES</title>
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<body>
<h1>DOG MICROBIOME BASIC ANALYSES</h1>
<h2>Background</h2>
<p>There are three dogs which are treated with increased percentage of a
compound in their diet: 5 different treatments (0-4, representing an
increased percentage of a compound in their diet) Analyses included
here:</p>
<ul>
<li> Import .biom and .tre files generated in QIIME as well as metadata
file: merge these objects in a phyloseq object</li>
<li> Basic data filter: assess number of reads/sample, plot rarefaction
curves, and exclude low abundance OTUs and samples that do not meet
minimum number of reads cutoff.</li>
<li> Basic exploratory plots including bar plots, alpha- and
beta-diversity, heatmaps.</li>
<li> Differential abundance testing by a) Dog and b) Treatment</li>
</ul>
<h2>This tutorial should be run in an interactive session. Please do not runnning anything on the headnode.</h2>
<h3>To get to a compute node do</h3>
<pre><code class="bash">qsub -I -q UCTlong -l walltime=08:00:00
</code></pre>
<p>Once you are on a compute node you will see that the prompt changes from <code>@srvslshpc001</code> to <code>@srvslshpc60X</code> e.g.</p>
<pre><code class="bash">gerrit@srvslshpc001:~> qsub -I -q UCTlong -l walltime=08:00:00
qsub: waiting for job 1598565.srvslshpc001 to start
qsub: job 1598565.srvslshpc001 ready
gerrit@srvslshpc601:~> hostname
srvslshpc601
</code></pre>
<h2>Make an output directory for R downstream analyses</h2>
<p><strong>NB - replace hpc30 with your user account</strong></p>
<pre><code class="bash">mkdir /researchdata/fhgfs/hpc30/R_downstream
</code></pre>
<h2>Load the R environment required</h2>
<pre><code class="bash">module load software/R-3.3.0
</code></pre>
<h2>Startup R </h2>
<p>enter 'R' into terminal</p>
<h2>Import data and create phyloseq object</h2>
<p><strong>Import BIOM file (generated in QIIME) into a phyloseq object</strong></p>
<pre><code>## Loading required package: permute
</code></pre>
<pre><code>## Loading required package: lattice
</code></pre>
<pre><code>## This is vegan 2.4-3
</code></pre>
<pre><code>## randomForest 4.6-12
</code></pre>
<pre><code>## Type rfNews() to see new features/changes/bug fixes.
</code></pre>
<pre><code>##
## Attaching package: 'randomForest'
</code></pre>
<pre><code>## The following object is masked from 'package:gridExtra':
##
## combine
</code></pre>
<pre><code>## The following object is masked from 'package:ggplot2':
##
## margin
</code></pre>
<pre><code>##
## Attaching package: 'dplyr'
</code></pre>
<pre><code>## The following object is masked from 'package:randomForest':
##
## combine
</code></pre>
<pre><code>## The following object is masked from 'package:gridExtra':
##
## combine
</code></pre>
<pre><code>## The following objects are masked from 'package:stats':
##
## filter, lag
</code></pre>
<pre><code>## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
</code></pre>
<p><strong>Import custom functions used in script</strong></p>
<pre><code>## Warning in grepl("\n", lines, fixed = TRUE): input string 545 is invalid in
## this locale
</code></pre>
<pre><code>## Loading required package: pkgmaker
</code></pre>
<pre><code>## Loading required package: registry
</code></pre>
<pre><code>##
## Attaching package: 'pkgmaker'
</code></pre>
<pre><code>## The following object is masked from 'package:base':
##
## isNamespaceLoaded
</code></pre>
<pre><code>## Loading required package: rngtools
</code></pre>
<pre><code>## Loading required package: cluster
</code></pre>
<pre><code>## NMF - BioConductor layer [OK] | Shared memory capabilities [NO: bigmemory] | Cores 63/64
</code></pre>
<pre><code>## To enable shared memory capabilities, try: install.extras('
## NMF
## ')
</code></pre>
<pre><code>##
## Attaching package: 'matrixStats'
</code></pre>
<pre><code>## The following objects are masked from 'package:Biobase':
##
## anyMissing, rowMedians
</code></pre>
<pre><code>## The following object is masked from 'package:dplyr':
##
## count
</code></pre>
<pre><code>## Loading required package: MASS
</code></pre>
<pre><code>##
## Attaching package: 'MASS'
</code></pre>
<pre><code>## The following object is masked from 'package:dplyr':
##
## select
</code></pre>
<pre><code>## Warning: failed to assign RegisteredNativeSymbol for toeplitz to toeplitz
## since toeplitz is already defined in the 'spam' namespace
</code></pre>
<pre><code>##
## Attaching package: 'fifer'
</code></pre>
<pre><code>## The following object is masked from 'package:Biobase':
##
## contents
</code></pre>
<pre><code>## Loading required package: limma
</code></pre>
<pre><code>##
## Attaching package: 'limma'
</code></pre>
<pre><code>## The following object is masked from 'package:BiocGenerics':
##
## plotMA
</code></pre>
<pre><code>## Loading required package: glmnet
</code></pre>
<pre><code>## Loading required package: Matrix
</code></pre>
<pre><code>## Loading required package: foreach
</code></pre>
<pre><code>## foreach: simple, scalable parallel programming from Revolution Analytics
## Use Revolution R for scalability, fault tolerance and more.
## http://www.revolutionanalytics.com
</code></pre>
<pre><code>## Loaded glmnet 2.0-10
</code></pre>
<pre><code>## Loading required package: RColorBrewer
</code></pre>
<pre><code>## Loading required package: gplots
</code></pre>
<pre><code>##
## Attaching package: 'gplots'
</code></pre>
<pre><code>## The following object is masked from 'package:stats':
##
## lowess
</code></pre>
<p><strong>Set the working directory and import data</strong>
<strong>NB replace the directory listed below to /researchdata/fhgfs/hpc30, substituting 'hpc30' with the name that has been given to you in the class</strong></p>
<pre><code>## [1] 179
</code></pre>
<p><strong>Data cleanup</strong></p>
<pre><code>## [1] "Rank1" "Rank2" "Rank3" "Rank4" "Rank5" "Rank6" "Rank7"
</code></pre>
<p><strong>Import metadata and merge with phyloseq object</strong></p>
<pre><code>## Dog Treatment
## Dog1 B 2
## Dog2 G 3
## Dog3 K 3
## Dog8 B 4
## Dog9 G 0
## Dog10 K 4
</code></pre>
<pre><code>## [1] "Dog1" "Dog2" "Dog3" "Dog8" "Dog9" "Dog10" "Dog15" "Dog16"
## [9] "Dog17" "Dog22" "Dog23" "Dog24" "Dog29" "Dog30" "Dog31"
</code></pre>
<pre><code>## [1] "Dog10" "Dog15" "Dog16" "Dog17" "Dog1" "Dog22"
</code></pre>
<pre><code>## [1] 15
</code></pre>
<pre><code>## [1] 15
</code></pre>
<pre><code>## [1] 15
</code></pre>
<pre><code>## [1] 15
</code></pre>
<pre><code>## 'data.frame': 15 obs. of 2 variables:
## Formal class 'sample_data' [package "phyloseq"] with 4 slots
## ..@ .Data :List of 2
## .. ..$ : Factor w/ 3 levels "B","G","K": 3 1 2 3 1 1 2 3 1 2 ...
## .. ..$ : int 4 1 4 0 2 3 1 2 0 3 ...
## ..@ names : chr "Dog" "Treatment"
## ..@ row.names: chr "Dog10" "Dog15" "Dog16" "Dog17" ...
## ..@ .S3Class : chr "data.frame"
</code></pre>
<p><strong>Save phyloseq object as an .RData file</strong></p>
<h2>Explore number of reads per sample, make rarefaction curves and filter data as necessary</h2>
<p><strong>Explore number of reads per sample</strong></p>
<pre><code>## [1] 0
</code></pre>
<pre><code>## [1] 63980
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-7"/></p>
<pre><code>## [[1]]
## N1 N101 N201 N301 N401 N501 N601
## 1.00000 24.57771 33.30832 39.02649 43.27856 46.66141 49.47114
## N701 N801 N901 N1001 N1101 N1201 N1301
## 51.87535 53.97718 55.84421 57.52292 59.04671 60.44042 61.72311
## N1401 N1501 N1601 N1701 N1801 N1901 N2001
## 62.90976 64.01241 65.04091 66.00345 66.90691 67.75717 68.55924
## N2101 N2201 N2301 N2401 N2501 N2601 N2701
## 69.31750 70.03575 70.71732 71.36518 71.98194 72.56995 73.13131
## N2801 N2901 N3001 N3101 N3201 N3301 N3401
## 73.66790 74.18143 74.67345 75.14538 75.59849 76.03397 76.45288
## N3501 N3601 N3701 N3801 N3901 N4001 N4101
## 76.85623 77.24492 77.61980 77.98165 78.33120 78.66910 78.99599
## N4201 N4301 N4401 N4501 N4601 N4701 N4801
## 79.31244 79.61901 79.91618 80.20443 80.48420 80.75591 81.01995
## N4901 N5001 N5101 N5201 N5301 N5401 N5501
## 81.27666 81.52641 81.76949 82.00623 82.23689 82.46176 82.68107
## N5601 N5701 N5801 N5901 N6001 N6101 N6201
## 82.89507 83.10399 83.30803 83.50739 83.70227 83.89284 84.07928
## N6301 N6401 N6501 N6601 N6701 N6801 N6901
## 84.26174 84.44038 84.61535 84.78678 84.95481 85.11955 85.28113
## N7001 N7101 N7201 N7301 N7401 N7501 N7601
## 85.43966 85.59524 85.74799 85.89799 86.04534 86.19013 86.33244
## N7701 N7801 N7901 N8001 N8101 N8201 N8301
## 86.47236 86.60996 86.74531 86.87849 87.00956 87.13859 87.26564
## N8401 N8501 N8601 N8701 N8801 N8901 N9001
## 87.39077 87.51404 87.63549 87.75519 87.87318 87.98952 88.10423
## N9101 N9201 N9301 N9401 N9501 N9601 N9701
## 88.21738 88.32901 88.43915 88.54784 88.65513 88.76104 88.86562
## N9801 N9901 N10001 N10101 N10201 N10301 N10401
## 88.96890 89.07091 89.17168 89.27124 89.36962 89.46686 89.56297
## N10501 N10601 N10701 N10801 N10901 N11001 N11101
## 89.65798 89.75192 89.84481 89.93669 90.02756 90.11745 90.20639
## N11201 N11301 N11401 N11501 N11601 N11701 N11801
## 90.29439 90.38147 90.46766 90.55297 90.63742 90.72103 90.80381
## N11901 N12001 N12101 N12201 N12301 N12401 N12501
## 90.88579 90.96698 91.04738 91.12703 91.20593 91.28410 91.36155
## N12601 N12701 N12801 N12901 N13001 N13101 N13201
## 91.43830 91.51435 91.58973 91.66444 91.73849 91.81190 91.88468
## N13301 N13401 N13501 N13601 N13701 N13801 N13901
## 91.95684 92.02840 92.09935 92.16971 92.23950 92.30872 92.37738
## N14001 N14101 N14201 N14301 N14401 N14501 N14601
## 92.44548 92.51305 92.58009 92.64660 92.71260 92.77809 92.84308
## N14701 N14801 N14901 N15001 N15101 N15201 N15301
## 92.90758 92.97160 93.03514 93.09821 93.16082 93.22298 93.28469
## N15401 N15501 N15601 N15701 N15801 N15901 N16001
## 93.34596 93.40679 93.46719 93.52718 93.58674 93.64590 93.70465
## N16101 N16201 N16301 N16401 N16501 N16601 N16701
## 93.76301 93.82097 93.87855 93.93574 93.99256 94.04900 94.10508
## N16801 N16901 N17001 N17101 N17201 N17301 N17401
## 94.16080 94.21616 94.27117 94.32583 94.38015 94.43414 94.48779
## N17501 N17601 N17701 N17801 N17901 N18001 N18101
## 94.54111 94.59410 94.64678 94.69913 94.75118 94.80292 94.85435
## N18201 N18301 N18401 N18501 N18601 N18701 N18801
## 94.90548 94.95631 95.00686 95.05711 95.10707 95.15675 95.20616
## N18901 N19001 N19101 N19201 N19301 N19401 N19501
## 95.25528 95.30414 95.35273 95.40104 95.44910 95.49690 95.54444
## N19601 N19701 N19801 N19901 N20001 N20101 N20201
## 95.59172 95.63876 95.68555 95.73209 95.77839 95.82445 95.87028
## N20301 N20401 N20501 N20601 N20701 N20801 N20901
## 95.91587 95.96123 96.00636 96.05126 96.09595 96.14041 96.18465
## N21001 N21101 N21201 N21301 N21401 N21501 N21601
## 96.22867 96.27249 96.31609 96.35948 96.40266 96.44564 96.48842
## N21701 N21801 N21901 N22001 N22101 N22201 N22301
## 96.53100 96.57338 96.61556 96.65755 96.69935 96.74095 96.78237
## N22401 N22501 N22601 N22701 N22801 N22901 N23001
## 96.82361 96.86466 96.90553 96.94622 96.98673 97.02706 97.06722
## N23101 N23201 N23301 N23401 N23501 N23601 N23701
## 97.10721 97.14702 97.18667 97.22614 97.26546 97.30461 97.34359
## N23801 N23901 N24001 N24101 N24201 N24301 N24401
## 97.38242 97.42108 97.45959 97.49794 97.53614 97.57418 97.61207
## N24501 N24601 N24701 N24801 N24901 N25001 N25101
## 97.64981 97.68740 97.72485 97.76215 97.79930 97.83631 97.87318
## N25201 N25301 N25401 N25501 N25601 N25701 N25801
## 97.90991 97.94650 97.98295 98.01927 98.05545 98.09150 98.12741
## N25901 N26001 N26101 N26201 N26301 N26401 N26501
## 98.16319 98.19884 98.23436 98.26976 98.30503 98.34017 98.37518
## N26601 N26701 N26801 N26901 N27001 N27101 N27201
## 98.41008 98.44485 98.47950 98.51403 98.54844 98.58273 98.61691
## N27301 N27401 N27501 N27601 N27701 N27801 N27901
## 98.65097 98.68491 98.71874 98.75246 98.78606 98.81956 98.85294
## N28001 N28101 N28201 N28301 N28401 N28501 N28601
## 98.88621 98.91938 98.95244 98.98539 99.01824 99.05098 99.08362
## N28701 N28801 N28901 N29001 N29101 N29201 N29301
## 99.11615 99.14859 99.18092 99.21315 99.24528 99.27731 99.30925
## N29401 N29501 N29601 N29701 N29801 N29901 N30001
## 99.34108 99.37283 99.40447 99.43602 99.46747 99.49884 99.53011
## N30101 N30201 N30301 N30401 N30501 N30601 N30701
## 99.56128 99.59237 99.62336 99.65427 99.68508 99.71581 99.74645
## N30801 N30901 N31001 N31101 N31201 N31301 N31401
## 99.77700 99.80746 99.83784 99.86814 99.89835 99.92847 99.95851
## N31501 N31601 N31701 N31801 N31901 N32001 N32101
## 99.98847 100.01835 100.04814 100.07785 100.10748 100.13704 100.16651
## N32201 N32301 N32401 N32501 N32601 N32701 N32801
## 100.19590 100.22522 100.25446 100.28362 100.31270 100.34171 100.37064
## N32901 N33001 N33101 N33201 N33301 N33401 N33501
## 100.39950 100.42828 100.45699 100.48562 100.51418 100.54267 100.57109
## N33601 N33701 N33801 N33901 N34001 N34101 N34201
## 100.59943 100.62771 100.65591 100.68404 100.71210 100.74010 100.76802
## N34301 N34401 N34501 N34601 N34701 N34801 N34901
## 100.79587 100.82366 100.85138 100.87903 100.90662 100.93413 100.96159
## N35001 N35101 N35201 N35301 N35401 N35501 N35601
## 100.98897 101.01629 101.04355 101.07074 101.09787 101.12493 101.15193
## N35701 N35801 N35901 N36001 N36101 N36201 N36301
## 101.17887 101.20574 101.23255 101.25930 101.28599 101.31262 101.33918
## N36401 N36501 N36601 N36701 N36801 N36901 N37001
## 101.36569 101.39213 101.41852 101.44484 101.47111 101.49732 101.52346
## N37101 N37201 N37301 N37401 N37501 N37601 N37701
## 101.54955 101.57559 101.60156 101.62748 101.65333 101.67914 101.70488
## N37801 N37901 N38001 N38101 N38201 N38301 N38401
## 101.73057 101.75621 101.78178 101.80730 101.83277 101.85818 101.88354
## N38501 N38601 N38701 N38801 N38901 N39001 N39101
## 101.90884 101.93409 101.95929 101.98443 102.00952 102.03455 102.05953
## N39201 N39301 N39401 N39501 N39601 N39701 N39801
## 102.08446 102.10934 102.13416 102.15894 102.18366 102.20833 102.23295
## N39901 N40001 N40101 N40201 N40301 N40401 N40501
## 102.25751 102.28203 102.30650 102.33091 102.35528 102.37959 102.40386
## N40601 N40701 N40801 N40901 N41001 N41101 N41201
## 102.42808 102.45224 102.47636 102.50043 102.52445 102.54842 102.57235
## N41301 N41401 N41501 N41601 N41701 N41801 N41901
## 102.59622 102.62005 102.64383 102.66756 102.69125 102.71488 102.73847
## N42001 N42101 N42201 N42301 N42401 N42501 N42601
## 102.76202 102.78552 102.80897 102.83237 102.85573 102.87904 102.90231
## N42701 N42801 N42901 N43001 N43101 N43201 N43301
## 102.92553 102.94871 102.97184 102.99492 103.01796 103.04096 103.06391
## N43401 N43501 N43601 N43701 N43801 N43901 N44001
## 103.08681 103.10968 103.13249 103.15527 103.17800 103.20068 103.22332
## N44101 N44201 N44301 N44401 N44501 N44601 N44701
## 103.24592 103.26848 103.29099 103.31346 103.33588 103.35827 103.38061
## N44801 N44901 N45001 N45101 N45201 N45301 N45401
## 103.40291 103.42516 103.44738 103.46955 103.49168 103.51376 103.53581
## N45501 N45601 N45701 N45801 N45901 N46001 N46101
## 103.55781 103.57977 103.60169 103.62357 103.64541 103.66721 103.68897
## N46201 N46301 N46401 N46501 N46601 N46701 N46801
## 103.71068 103.73236 103.75399 103.77558 103.79714 103.81865 103.84012
## N46901 N47001 N47101 N47201 N47301 N47401 N47501
## 103.86155 103.88295 103.90430 103.92561 103.94689 103.96812 103.98932
## N47601 N47701 N47801 N47901 N48001 N48101 N48201
## 104.01047 104.03159 104.05266 104.07370 104.09470 104.11566 104.13658
## N48301 N48401 N48501 N48601 N48701 N48801 N48901
## 104.15746 104.17831 104.19911 104.21988 104.24061 104.26130 104.28195
## N49001 N49101 N49201 N49301 N49401 N49501 N49601
## 104.30257 104.32314 104.34368 104.36418 104.38465 104.40507 104.42546
## N49701 N49801 N49901 N50001 N50101 N50201 N50301
## 104.44581 104.46612 104.48640 104.50664 104.52684 104.54700 104.56713
## N50401 N50501 N50601 N50701 N50801 N50901 N51001
## 104.58722 104.60728 104.62729 104.64727 104.66722 104.68713 104.70700
## N51101 N51201 N51301 N51401 N51501 N51601 N51701
## 104.72683 104.74663 104.76639 104.78612 104.80581 104.82546 104.84508
## N51801 N51901 N52001 N52101 N52201 N52301 N52401
## 104.86467 104.88421 104.90372 104.92320 104.94264 104.96204 104.98141
## N52501 N52601 N52701 N52801 N52901 N53001 N53101
## 105.00075 105.02004 105.03931 105.05853 105.07773 105.09689 105.11601
## N53201 N53301 N53401 N53501 N53601 N53701 N53801
## 105.13510 105.15415 105.17317 105.19215 105.21110 105.23002 105.24890
## N53901 N54001 N54101 N54201 N54301 N54401 N54501
## 105.26774 105.28655 105.30533 105.32407 105.34278 105.36145 105.38009
## N54601 N54701 N54801 N54901 N55001 N55101 N55201
## 105.39870 105.41727 105.43581 105.45431 105.47278 105.49122 105.50962
## N55301 N55401 N55501 N55601 N55701 N55801 N55901
## 105.52799 105.54633 105.56463 105.58290 105.60114 105.61934 105.63751
## N56001 N56101 N56201 N56301 N56401 N56501 N56601
## 105.65564 105.67374 105.69181 105.70985 105.72785 105.74582 105.76376
## N56701 N56801 N56901 N57001 N57101 N57201 N57301
## 105.78166 105.79953 105.81737 105.83518 105.85295 105.87069 105.88840
## N57401 N57501 N57601 N57701 N57801 N57901 N58001
## 105.90608 105.92372 105.94133 105.95891 105.97646 105.99397 106.01145
## N58101 N58201 N58301 N58401 N58501 N58601 N58701
## 106.02890 106.04632 106.06370 106.08106 106.09838 106.11567 106.13293
## N58801 N58901 N59001 N59101 N59201 N59301 N59401
## 106.15015 106.16735 106.18451 106.20164 106.21874 106.23581 106.25284
## N59501 N59601 N59701 N59801 N59901 N60001 N60101
## 106.26985 106.28682 106.30376 106.32068 106.33755 106.35440 106.37122
## N60201 N60301 N60401 N60501 N60601 N60701 N60801
## 106.38801 106.40476 106.42149 106.43818 106.45484 106.47147 106.48807
## N60901 N61001 N61101 N61201 N61301 N61401 N61501
## 106.50464 106.52118 106.53769 106.55417 106.57061 106.58703 106.60341
## N61601 N61701 N61801 N61901 N62001 N62101 N62201
## 106.61977 106.63609 106.65239 106.66865 106.68489 106.70109 106.71727
## N62301 N62401 N62501 N62601 N62701 N62801 N62901
## 106.73341 106.74952 106.76561 106.78166 106.79768 106.81368 106.82964
## N63001 N63101 N63201 N63301 N63401 N63501 N63601
## 106.84557 106.86148 106.87735 106.89320 106.90901 106.92480 106.94055
## N63701 N63801 N63901 N63980
## 106.95628 106.97198 106.98764 107.00000
## attr(,"Subsample")
##
## 1 101 201 301 401 501 601 701 801 901 1001 1101
##
## 1201 1301 1401 1501 1601 1701 1801 1901 2001 2101 2201 2301
##
## 2401 2501 2601 2701 2801 2901 3001 3101 3201 3301 3401 3501
##
## 3601 3701 3801 3901 4001 4101 4201 4301 4401 4501 4601 4701
##
## 4801 4901 5001 5101 5201 5301 5401 5501 5601 5701 5801 5901
##
## 6001 6101 6201 6301 6401 6501 6601 6701 6801 6901 7001 7101
##
## 7201 7301 7401 7501 7601 7701 7801 7901 8001 8101 8201 8301
##
## 8401 8501 8601 8701 8801 8901 9001 9101 9201 9301 9401 9501
##
## 9601 9701 9801 9901 10001 10101 10201 10301 10401 10501 10601 10701
##
## 10801 10901 11001 11101 11201 11301 11401 11501 11601 11701 11801 11901
##
## 12001 12101 12201 12301 12401 12501 12601 12701 12801 12901 13001 13101
##
## 13201 13301 13401 13501 13601 13701 13801 13901 14001 14101 14201 14301
##
## 14401 14501 14601 14701 14801 14901 15001 15101 15201 15301 15401 15501
##
## 15601 15701 15801 15901 16001 16101 16201 16301 16401 16501 16601 16701
##
## 16801 16901 17001 17101 17201 17301 17401 17501 17601 17701 17801 17901
##
## 18001 18101 18201 18301 18401 18501 18601 18701 18801 18901 19001 19101
##
## 19201 19301 19401 19501 19601 19701 19801 19901 20001 20101 20201 20301
##
## 20401 20501 20601 20701 20801 20901 21001 21101 21201 21301 21401 21501
##
## 21601 21701 21801 21901 22001 22101 22201 22301 22401 22501 22601 22701
##
## 22801 22901 23001 23101 23201 23301 23401 23501 23601 23701 23801 23901
##
## 24001 24101 24201 24301 24401 24501 24601 24701 24801 24901 25001 25101
##
## 25201 25301 25401 25501 25601 25701 25801 25901 26001 26101 26201 26301
##
## 26401 26501 26601 26701 26801 26901 27001 27101 27201 27301 27401 27501
##
## 27601 27701 27801 27901 28001 28101 28201 28301 28401 28501 28601 28701
##
## 28801 28901 29001 29101 29201 29301 29401 29501 29601 29701 29801 29901
##
## 30001 30101 30201 30301 30401 30501 30601 30701 30801 30901 31001 31101
##
## 31201 31301 31401 31501 31601 31701 31801 31901 32001 32101 32201 32301
##
## 32401 32501 32601 32701 32801 32901 33001 33101 33201 33301 33401 33501
##
## 33601 33701 33801 33901 34001 34101 34201 34301 34401 34501 34601 34701
##
## 34801 34901 35001 35101 35201 35301 35401 35501 35601 35701 35801 35901
##
## 36001 36101 36201 36301 36401 36501 36601 36701 36801 36901 37001 37101
##
## 37201 37301 37401 37501 37601 37701 37801 37901 38001 38101 38201 38301
##
## 38401 38501 38601 38701 38801 38901 39001 39101 39201 39301 39401 39501
##
## 39601 39701 39801 39901 40001 40101 40201 40301 40401 40501 40601 40701
##
## 40801 40901 41001 41101 41201 41301 41401 41501 41601 41701 41801 41901
##
## 42001 42101 42201 42301 42401 42501 42601 42701 42801 42901 43001 43101
##
## 43201 43301 43401 43501 43601 43701 43801 43901 44001 44101 44201 44301
##
## 44401 44501 44601 44701 44801 44901 45001 45101 45201 45301 45401 45501
##
## 45601 45701 45801 45901 46001 46101 46201 46301 46401 46501 46601 46701
##
## 46801 46901 47001 47101 47201 47301 47401 47501 47601 47701 47801 47901
##
## 48001 48101 48201 48301 48401 48501 48601 48701 48801 48901 49001 49101
##
## 49201 49301 49401 49501 49601 49701 49801 49901 50001 50101 50201 50301
##
## 50401 50501 50601 50701 50801 50901 51001 51101 51201 51301 51401 51501
##
## 51601 51701 51801 51901 52001 52101 52201 52301 52401 52501 52601 52701
##
## 52801 52901 53001 53101 53201 53301 53401 53501 53601 53701 53801 53901
##
## 54001 54101 54201 54301 54401 54501 54601 54701 54801 54901 55001 55101
##
## 55201 55301 55401 55501 55601 55701 55801 55901 56001 56101 56201 56301
##
## 56401 56501 56601 56701 56801 56901 57001 57101 57201 57301 57401 57501
##
## 57601 57701 57801 57901 58001 58101 58201 58301 58401 58501 58601 58701
##
## 58801 58901 59001 59101 59201 59301 59401 59501 59601 59701 59801 59901
##
## 60001 60101 60201 60301 60401 60501 60601 60701 60801 60901 61001 61101
##
## 61201 61301 61401 61501 61601 61701 61801 61901 62001 62101 62201 62301
##
## 62401 62501 62601 62701 62801 62901 63001 63101 63201 63301 63401 63501
## Dog10
## 63601 63701 63801 63901 63980
##
## [[2]]
## N1 N101 N201 N301 N401 N501 N601
## 1.00000 21.69048 29.59138 34.77169 38.67604 41.82360 44.46303
## N701 N801 N901 N1001 N1101 N1201 N1301
## 46.73532 48.72899 50.50356 52.10112 53.55262 54.88150 56.10600
## N1401 N1501 N1601 N1701 N1801 N1901 N2001
## 57.24058 58.29692 59.28456 60.21143 61.08417 61.90837 62.68882
## N2101 N2201 N2301 N2401 N2501 N2601 N2701
## 63.42965 64.13440 64.80619 65.44772 66.06141 66.64936 67.21347
## N2801 N2901 N3001 N3101 N3201 N3301 N3401
## 67.75542 68.27673 68.77876 69.26275 69.72982 70.18098 70.61718
## N3501 N3601 N3701 N3801 N3901 N4001 N4101
## 71.03925 71.44799 71.84412 72.22831 72.60116 72.96325 73.31510
## N4201 N4301 N4401 N4501 N4601 N4701 N4801
## 73.65722 73.99007 74.31406 74.62960 74.93708 75.23683 75.52920
## N4901 N5001 N5101 N5201 N5301 N5401 N5501
## 75.81449 76.09299 76.36499 76.63074 76.89049 77.14447 77.39290
## N5601 N5701 N5801 N5901 N6001 N6101 N6201
## 77.63600 77.87395 78.10695 78.33517 78.55879 78.77796 78.99283
## N6301 N6401 N6501 N6601 N6701 N6801 N6901
## 79.20356 79.41028 79.61312 79.81222 80.00768 80.19963 80.38818
## N7001 N7101 N7201 N7301 N7401 N7501 N7601
## 80.57342 80.75547 80.93441 81.11034 81.28335 81.45353 81.62094
## N7701 N7801 N7901 N8001 N8101 N8201 N8301
## 81.78568 81.94782 82.10742 82.26456 82.41930 82.57171 82.72185
## N8401 N8501 N8601 N8701 N8801 N8901 N9001
## 82.86978 83.01554 83.15921 83.30083 83.44046 83.57813 83.71391
## N9101 N9201 N9301 N9401 N9501 N9601 N9701
## 83.84782 83.97993 84.11027 84.23888 84.36581 84.49108 84.61474
## N9801 N9901 N10001 N10101 N10201 N10301 N10401
## 84.73683 84.85738 84.97642 85.09398 85.21010 85.32481 85.43814
## N10501 N10601 N10701 N10801 N10901 N11001 N11101
## 85.55011 85.66076 85.77011 85.87818 85.98501 86.09062 86.19504
## N11201 N11301 N11401 N11501 N11601 N11701 N11801
## 86.29828 86.40036 86.50132 86.60118 86.69994 86.79764 86.89430
## N11901 N12001 N12101 N12201 N12301 N12401 N12501
## 86.98993 87.08455 87.17818 87.27085 87.36255 87.45333 87.54318
## N12601 N12701 N12801 N12901 N13001 N13101 N13201
## 87.63213 87.72019 87.80738 87.89372 87.97921 88.06387 88.14772
## N13301 N13401 N13501 N13601 N13701 N13801 N13901
## 88.23076 88.31303 88.39451 88.47524 88.55522 88.63446 88.71297
## N14001 N14101 N14201 N14301 N14401 N14501 N14601
## 88.79078 88.86788 88.94429 89.02002 89.09509 89.16950 89.24325
## N14701 N14801 N14901 N15001 N15101 N15201 N15301
## 89.31638 89.38887 89.46074 89.53201 89.60267 89.67275 89.74224
## N15401 N15501 N15601 N15701 N15801 N15901 N16001
## 89.81117 89.87952 89.94732 90.01458 90.08129 90.14747 90.21312
## N16101 N16201 N16301 N16401 N16501 N16601 N16701
## 90.27826 90.34289 90.40702 90.47066 90.53380 90.59647 90.65866
## N16801 N16901 N17001 N17101 N17201 N17301 N17401
## 90.72038 90.78164 90.84245 90.90281 90.96273 91.02221 91.08126
## N17501 N17601 N17701 N17801 N17901 N18001 N18101
## 91.13989 91.19810 91.25589 91.31328 91.37027 91.42686 91.48306
## N18201 N18301 N18401 N18501 N18601 N18701 N18801
## 91.53887 91.59430 91.64936 91.70404 91.75836 91.81232 91.86592
## N18901 N19001 N19101 N19201 N19301 N19401 N19501
## 91.91917 91.97207 92.02462 92.07684 92.12873 92.18028 92.23151
## N19601 N19701 N19801 N19901 N20001 N20101 N20201
## 92.28241 92.33300 92.38327 92.43323 92.48289 92.53224 92.58129
## N20301 N20401 N20501 N20601 N20701 N20801 N20901
## 92.63005 92.67852 92.72670 92.77459 92.82221 92.86954 92.91660
## N21001 N21101 N21201 N21301 N21401 N21501 N21601
## 92.96339 93.00991 93.05617 93.10216 93.14790 93.19338 93.23860
## N21701 N21801 N21901 N22001 N22101 N22201 N22301
## 93.28358 93.32831 93.37280 93.41704 93.46105 93.50482 93.54836
## N22401 N22501 N22601 N22701 N22801 N22901 N23001
## 93.59166 93.63474 93.67760 93.72023 93.76264 93.80483 93.84681
## N23101 N23201 N23301 N23401 N23501 N23601 N23701
## 93.88857 93.93013 93.97147 94.01261 94.05355 94.09428 94.13481
## N23801 N23901 N24001 N24101 N24201 N24301 N24401
## 94.17515 94.21529 94.25524 94.29500 94.33456 94.37395 94.41314
## N24501 N24601 N24701 N24801 N24901 N25001 N25101
## 94.45215 94.49099 94.52964 94.56811 94.60641 94.64454 94.68249
## N25201 N25301 N25401 N25501 N25601 N25701 N25801
## 94.72027 94.75789 94.79533 94.83262 94.86974 94.90669 94.94349
## N25901 N26001 N26101 N26201 N26301 N26401 N26501
## 94.98013 95.01661 95.05293 95.08910 95.12512 95.16099 95.19671
## N26601 N26701 N26801 N26901 N27001 N27101 N27201
## 95.23228 95.26770 95.30298 95.33811 95.37311 95.40796 95.44267
## N27301 N27401 N27501 N27601 N27701 N27801 N27901
## 95.47724 95.51167 95.54597 95.58014 95.61417 95.64807 95.68184
## N28001 N28101 N28201 N28301 N28401 N28501 N28601
## 95.71547 95.74898 95.78237 95.81562 95.84875 95.88176 95.91464
## N28701 N28801 N28901 N29001 N29101 N29201 N29301
## 95.94741 95.98005 96.01257 96.04497 96.07726 96.10943 96.14148
## N29401 N29501 N29601 N29701 N29801 N29901 N30001
## 96.17342 96.20525 96.23696 96.26856 96.30005 96.33143 96.36271
## N30101 N30201 N30301 N30401 N30501 N30601 N30701
## 96.39387 96.42493 96.45588 96.48673 96.51747 96.54811 96.57865
## N30801 N30901 N31001 N31101 N31201 N31301 N31401
## 96.60908 96.63941 96.66965 96.69978 96.72982 96.75975 96.78960
## N31501 N31601 N31701 N31801 N31901 N32001 N32101
## 96.81934 96.84899 96.87854 96.90801 96.93737 96.96665 96.99583
## N32201 N32301 N32401 N32501 N32601 N32701 N32801
## 97.02492 97.05392 97.08284 97.11166 97.14039 97.16904 97.19760
## N32901 N33001 N33101 N33201 N33301 N33401 N33501
## 97.22608 97.25446 97.28277 97.31098 97.33912 97.36717 97.39514
## N33601 N33701 N33801 N33901 N34001 N34101 N34201
## 97.42303 97.45083 97.47856 97.50620 97.53376 97.56125 97.58866
## N34301 N34401 N34501 N34601 N34701 N34801 N34901
## 97.61598 97.64323 97.67041 97.69751 97.72453 97.75147 97.77835
## N35001 N35101 N35201 N35301 N35401 N35501 N35601
## 97.80514 97.83187 97.85852 97.88509 97.91160 97.93803 97.96439
## N35701 N35801 N35901 N36001 N36101 N36201 N36301
## 97.99068 98.01690 98.04305 98.06913 98.09514 98.12108 98.14695
## N36401 N36501 N36601 N36701 N36801 N36901 N37001
## 98.17276 98.19850 98.22417 98.24978 98.27531 98.30079 98.32619
## N37101 N37201 N37301 N37401 N37501 N37601 N37701
## 98.35154 98.37682 98.40203 98.42718 98.45227 98.47729 98.50225
## N37801 N37901 N38001 N38101 N38201 N38301 N38401
## 98.52715 98.55199 98.57676 98.60148 98.62613 98.65073 98.67526
## N38501 N38601 N38701 N38801 N38901 N39001 N39101
## 98.69973 98.72415 98.74850 98.77280 98.79704 98.82122 98.84534
## N39201 N39301 N39401 N39501 N39601 N39701 N39801
## 98.86941 98.89342 98.91737 98.94126 98.96510 98.98889 99.01261
## N39901 N40001 N40101 N40201 N40301 N40401 N40501
## 99.03629 99.05990 99.08347 99.10698 99.13043 99.15383 99.17718
## N40601 N40701 N40801 N40901 N41001 N41101 N41201
## 99.20047 99.22372 99.24690 99.27004 99.29313 99.31616 99.33914
## N41301 N41401 N41501 N41601 N41701 N41801 N41901
## 99.36207 99.38495 99.40778 99.43056 99.45329 99.47596 99.49859
## N42001 N42101 N42201 N42301 N42401 N42501 N42601
## 99.52117 99.54370 99.56618 99.58861 99.61100 99.63333 99.65562
## N42701 N42801 N42901 N43001 N43101 N43201 N43301
## 99.67786 99.70005 99.72220 99.74429 99.76634 99.78835 99.81031
## N43401 N43501 N43601 N43701 N43801 N43901 N44001
## 99.83222 99.85408 99.87590 99.89768 99.91941 99.94109 99.96273
## N44101 N44201 N44301 N44401 N44501 N44601 N44701
## 99.98432 100.00587 100.02738 100.04884 100.07026 100.09163 100.11296
## N44801 N44901 N45001 N45101 N45201 N45301 N45401
## 100.13425 100.15549 100.17669 100.19785 100.21896 100.24004 100.26107
## N45501 N45601 N45701 N45801 N45901 N46001 N46101
## 100.28206 100.30300 100.32391 100.34477 100.36560 100.38638 100.40712
## N46201 N46301 N46401 N46501 N46601 N46701 N46801
## 100.42782 100.44848 100.46910 100.48968 100.51022 100.53072 100.55117
## N46901 N47001 N47101 N47201 N47301 N47401 N47501
## 100.57159 100.59197 100.61232 100.63262 100.65288 100.67311 100.69329
## N47601 N47701 N47801 N47901 N48001 N48101 N48201
## 100.71344 100.73355 100.75362 100.77365 100.79365 100.81360 100.83352
## N48301 N48401 N48501 N48601 N48701 N48801 N48901
## 100.85341 100.87325 100.89306 100.91283 100.93257 100.95226 100.97193
## N49001 N49101 N49201 N49301 N49401 N49501 N49601
## 100.99155 101.01114 101.03069 101.05021 101.06969 101.08914 101.10855
## N49701 N49801 N49901 N50001 N50101 N50201 N50301
## 101.12792 101.14726 101.16656 101.18583 101.20507 101.22427 101.24343
## N50401 N50501 N50601 N50701 N50801 N50901 N51001
## 101.26256 101.28166 101.30072 101.31975 101.33874 101.35770 101.37663
## N51101 N51201 N51301 N51401 N51501 N51601 N51701
## 101.39552 101.41438 101.43321 101.45200 101.47076 101.48949 101.50818
## N51801 N51901 N52001 N52101 N52201 N52301 N52401
## 101.52684 101.54547 101.56407 101.58263 101.60116 101.61966 101.63813
## N52501 N52601 N52701 N52801 N52901 N53001 N53101
## 101.65656 101.67496 101.69334 101.71168 101.72998 101.74826 101.76651
## N53201 N53301 N53401 N53501 N53601 N53701 N53801
## 101.78472 101.80290 101.82106 101.83918 101.85727 101.87533 101.89336
## N53901 N54001 N54101 N54201 N54301 N54401 N54501
## 101.91136 101.92933 101.94727 101.96518 101.98305 102.00090 102.01872
## N54601 N54701 N54801 N54901 N55001 N55101 N55201
## 102.03651 102.05427 102.07200 102.08970 102.10737 102.12501 102.14263
## N55301 N55401 N55501 N55601 N55701 N55801 N55901
## 102.16021 102.17777 102.19529 102.21279 102.23026 102.24770 102.26511
## N56001 N56101 N56201 N56301 N56401 N56501 N56601
## 102.28249 102.29985 102.31717 102.33447 102.35174 102.36898 102.38620
## N56701 N56801 N56901 N57001 N57101 N57201 N57301
## 102.40339 102.42055 102.43768 102.45478 102.47186 102.48891 102.50593
## N57401 N57501 N57601 N57701 N57801 N57901 N58001
## 102.52292 102.53989 102.55683 102.57375 102.59063 102.60750 102.62433
## N58101 N58201 N58301 N58401 N58501 N58601 N58701
## 102.64114 102.65792 102.67467 102.69140 102.70810 102.72478 102.74143
## N58801 N58901 N59001 N59101 N59201 N59301 N59401
## 102.75805 102.77465 102.79122 102.80777 102.82429 102.84078 102.85725
## N59501 N59601 N59701 N59801 N59901 N60001 N60101
## 102.87370 102.89011 102.90651 102.92288 102.93922 102.95554 102.97183
## N60201 N60301 N60401 N60501 N60601 N60701 N60801
## 102.98810 103.00434 103.02056 103.03675 103.05292 103.06906 103.08518
## N60901 N61001 N61101 N61201 N61301 N61401 N61501
## 103.10128 103.11735 103.13340 103.14942 103.16542 103.18139 103.19734
## N61601 N61701 N61801 N61901 N62001 N62101 N62201
## 103.21327 103.22917 103.24505 103.26091 103.27674 103.29255 103.30833
## N62301 N62401 N62501 N62601 N62701 N62801 N62901
## 103.32409 103.33983 103.35554 103.37123 103.38690 103.40255 103.41817
## N63001 N63101 N63201 N63301 N63401 N63501 N63601
## 103.43377 103.44934 103.46490 103.48043 103.49593 103.51142 103.52688
## N63701 N63801 N63901 N64001 N64101 N64201 N64301
## 103.54232 103.55774 103.57313 103.58850 103.60385 103.61918 103.63449
## N64401 N64501 N64601 N64701 N64801 N64901 N65001
## 103.64977 103.66503 103.68027 103.69549 103.71069 103.72586 103.74101
## N65101 N65201 N65301 N65401 N65501 N65601 N65701
## 103.75614 103.77125 103.78634 103.80141 103.81645 103.83148 103.84648
## N65801 N65901 N66001 N66101 N66201 N66301 N66401
## 103.86146 103.87642 103.89136 103.90627 103.92117 103.93604 103.95090
## N66501 N66601 N66701 N66801 N66901 N67001 N67101
## 103.96573 103.98055 103.99534 104.01011 104.02486 104.03959 104.05430
## N67201 N67301 N67401 N67501 N67601 N67701 N67801
## 104.06899 104.08366 104.09830 104.11293 104.12754 104.14213 104.15669
## N67901 N68001 N68101 N68201 N68301 N68401 N68501
## 104.17124 104.18577 104.20028 104.21476 104.22923 104.24368 104.25810
## N68601 N68701 N68801 N68901 N69001 N69101 N69201
## 104.27251 104.28690 104.30127 104.31562 104.32995 104.34426 104.35855
## N69301 N69401 N69501 N69601 N69701 N69801 N69901
## 104.37282 104.38707 104.40130 104.41552 104.42971 104.44389 104.45804
## N70001 N70101 N70201 N70301 N70401 N70501 N70601
## 104.47218 104.48630 104.50040 104.51448 104.52854 104.54258 104.55660
## N70701 N70801 N70901 N71001 N71101 N71201 N71301
## 104.57061 104.58459 104.59856 104.61251 104.62644 104.64035 104.65425
## N71401 N71501 N71601 N71701 N71801 N71901 N72001
## 104.66812 104.68198 104.69582 104.70964 104.72344 104.73723 104.75099
## N72101 N72201 N72301 N72401 N72501 N72601 N72701
## 104.76474 104.77847 104.79218 104.80588 104.81955 104.83321 104.84685
## N72801 N72901 N73001 N73101 N73201 N73301 N73401
## 104.86047 104.87408 104.88767 104.90124 104.91479 104.92832 104.94184
## N73501 N73601 N73701 N73801 N73901 N74001 N74101
## 104.95534 104.96882 104.98229 104.99574 105.00917 105.02258 105.03598
## N74201 N74301 N74401 N74501 N74601 N74701 N74801
## 105.04936 105.06272 105.07606 105.08939 105.10270 105.11599 105.12927
## N74901 N75001 N75101 N75201 N75301 N75401 N75501
## 105.14253 105.15578 105.16900 105.18221 105.19540 105.20858 105.22174
## N75601 N75701 N75801 N75901 N76001 N76101 N76201
## 105.23488 105.24801 105.26112 105.27421 105.28729 105.30035 105.31340
## N76301 N76401 N76501 N76601 N76701 N76801 N76901
## 105.32643 105.33944 105.35243 105.36541 105.37838 105.39132 105.40425
## N77001 N77101 N77201 N77301 N77401 N77501 N77601
## 105.41717 105.43007 105.44295 105.45582 105.46867 105.48151 105.49432
## N77701 N77801 N77901 N78001 N78101 N78201 N78301
## 105.50713 105.51992 105.53269 105.54545 105.55819 105.57091 105.58362
## N78401 N78501 N78601 N78701 N78801 N78901 N79001
## 105.59632 105.60900 105.62166 105.63431 105.64694 105.65956 105.67216
## N79101 N79201 N79301 N79401 N79501 N79601 N79701
## 105.68475 105.69732 105.70987 105.72241 105.73494 105.74745 105.75995
## N79801 N79901 N80001 N80101 N80201 N80301 N80401
## 105.77243 105.78489 105.79734 105.80978 105.82220 105.83461 105.84700
## N80501 N80601 N80701 N80801 N80901 N81001 N81101
## 105.85937 105.87173 105.88408 105.89641 105.90873 105.92103 105.93332
## N81201 N81301 N81401 N81501 N81601 N81701 N81801
## 105.94559 105.95785 105.97010 105.98233 105.99454 106.00674 106.01893
## N81901 N82001 N82101 N82201 N82301 N82401 N82501
## 106.03110 106.04326 106.05541 106.06753 106.07965 106.09175 106.10384
## N82601 N82701 N82801 N82901 N83001 N83101 N83201
## 106.11591 106.12797 106.14001 106.15204 106.16406 106.17606 106.18805
## N83301 N83401 N83501 N83601 N83701 N83801 N83901
## 106.20003 106.21199 106.22393 106.23587 106.24779 106.25969 106.27158
## N84001 N84101 N84201 N84301 N84401 N84501 N84601
## 106.28346 106.29533 106.30718 106.31901 106.33084 106.34265 106.35444
## N84701 N84801 N84901 N85001 N85101 N85201 N85301
## 106.36623 106.37800 106.38975 106.40149 106.41322 106.42494 106.43664
## N85401 N85501 N85601 N85701 N85801 N85901 N86001