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CodeBook

This code book describes the data and the computational environment.

Data

The Ames, IA dataset was aquired from Kaggle. The data README provides more information on the data.

Data is included in git repo because it is light-weight and in git-friendly format.

Libraries

The following R packages are required for running the code or paper generation.

  • bookdown: Tex generation from R markdown files.
  • tidyverse: R packages for data science
    • ggplot2
    • dplyr

R Session Info

Provides an example of the environment used to generate the analysis.

R version 3.5.1 (2018-07-02)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 18.04.3 LTS

Matrix products: default
BLAS: /home/stuart/anaconda3/lib/R/lib/libRblas.so
LAPACK: /home/stuart/anaconda3/lib/R/lib/libRlapack.so

locale:
[1] en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] caret_6.0-80         lattice_0.20-35      ggthemes_4.0.0       corrplot_0.84        gplots_3.0.1        
 [6] RColorBrewer_1.1-2   gridExtra_2.3        GGally_1.4.0         forcats_0.3.0        stringr_1.3.1       
[11] dplyr_0.7.6          purrr_0.2.5          readr_1.1.1          tidyr_0.8.1          tibble_1.4.2        
[16] ggplot2_3.0.0        tidyverse_1.2.1      knitr_1.20           RevoUtils_11.0.1     RevoUtilsMath_11.0.0

loaded via a namespace (and not attached):
 [1] nlme_3.1-137       bitops_1.0-6       lubridate_1.7.4    dimRed_0.1.0       httr_1.3.1         rprojroot_1.3-2   
 [7] tools_3.5.1        backports_1.1.2    R6_2.2.2           rpart_4.1-13       KernSmooth_2.23-15 lazyeval_0.2.1    
[13] colorspace_1.3-2   nnet_7.3-12        withr_2.1.2        tidyselect_0.2.4   compiler_3.5.1     cli_1.0.0         
[19] rvest_0.3.2        xml2_1.2.0         labeling_0.3       caTools_1.17.1.1   scales_0.5.0       sfsmisc_1.1-2     
[25] DEoptimR_1.0-8     robustbase_0.93-2  digest_0.6.15      rmarkdown_1.10     pkgconfig_2.0.1    htmltools_0.3.6   
[31] highr_0.7          rlang_0.2.1        readxl_1.1.0       ddalpha_1.3.4      rstudioapi_0.7     bindr_0.1.1       
[37] jsonlite_1.5       gtools_3.8.1       ModelMetrics_1.1.0 magrittr_1.5       Matrix_1.2-14      Rcpp_0.12.18      
[43] munsell_0.5.0      abind_1.4-5        stringi_1.2.4      yaml_2.2.0         MASS_7.3-50        plyr_1.8.4        
[49] recipes_0.1.3      grid_3.5.1         pls_2.6-0          gdata_2.18.0       crayon_1.3.4       splines_3.5.1     
[55] haven_1.1.2        hms_0.4.2          pillar_1.3.0       stats4_3.5.1       reshape2_1.4.3     codetools_0.2-15  
[61] CVST_0.2-2         magic_1.5-8        glue_1.3.0         evaluate_0.11      modelr_0.1.2       foreach_1.4.4     
[67] cellranger_1.1.0   gtable_0.2.0       reshape_0.8.7      kernlab_0.9-26     assertthat_0.2.0   DRR_0.0.3         
[73] gower_0.1.2        prodlim_2018.04.18 broom_0.5.0        survival_2.42-6    rsconnect_0.8.8    class_7.3-14      
[79] geometry_0.3-6     timeDate_3043.102  RcppRoll_0.3.0     iterators_1.0.10   lava_1.6.2         bindrcpp_0.2.2    
[85] ipred_0.9-6

Other Dependencies

Paper was generated with TeX (requires MiKTeX on Windows, MacTeX 2013+ on OS X, or Tex Live 2013+ on Linux)