Continuum Analytics: Documentation

# R language packages for Anaconda

A complete list of R language packages available for install from conda is located at http://repo.continuum.io/pkgs/r/ . Any of these R language packages may be installed into your current environment with the conda command `conda install -c r r-essentials`.

TIP: You can also do a conda search for any R package if you know the name, such as `conda search -f EXACTNAME`. Replace EXACTNAME with the exact name of the R package you want.

## R Essentials bundle

Rather than install each R language package individually, you can get the R Essentials bundle. It includes about a hundred of the most popular scientific packages for the R programming language.

R language packages that are automatically installed when you install R Essentials include:

PROGRAM | VERSION NUMBER
--- | ---
jbig | 2.1-0
jpeg | 8d-2
libgcc | 4.8.5-1
libpng | 1.6.17-0
libsodium | 1.0.3-0
libtiff | 4.0.6-1
libxml2 | 2.9.2-1
ncurses | 5.9-1
nlopt | 2.4.2-1
pcre | 8.31-0
r | 3.2.2-0
r-assertthat | 0.1-r3.2.2_2a
r-base | 3.2.2-0
r-base64enc | 0.1_3-r3.2.2_0a
r-bh | 1.58.0_1-r3.2.2_0a
r-bitops | 1.0_6-r3.2.2_2a
r-boot | 1.3_17-r3.2.2_0a
r-car | 2.1_0-r3.2.2_0a
r-caret | 6.0_62-r3.2.2_0a
r-catools | 1.17.1-r3.2.2_2a
r-chron | 2.3_47-r3.2.2_0a
r-class | 7.3_14-r3.2.2_0a
r-cluster | 2.0.3-r3.2.2_0a
r-codetools | 0.2_14-r3.2.2_0a
r-colorspace | 1.2_6-r3.2.2_0a
r-data.table | 1.9.6-r3.2.2_0a
r-dbi | 0.3.1-r3.2.2_3a
r-dichromat | 2.0_0-r3.2.2_3a
r-digest | 0.6.8-r3.2.2_3a
r-dplyr | 0.4.3-r3.2.2_0a
r-essentials | 1.1-r3.2.2_1a
r-evaluate | 0.8-r3.2.2_0a
r-foreach | 1.4.3-r3.2.2_0a
r-foreign | 0.8_66-r3.2.2_0a
r-formatr | 1.2.1-r3.2.2_0a
r-ggplot2 | 1.0.1-r3.2.2_0a
r-glmnet | 2.0_2-r3.2.2_0a
r-gtable | 0.1.2-r3.2.2_3a
r-hexbin | 1.27.1-r3.2.2_0a
r-highr | 0.5.1-r3.2.2_0a
r-htmltools | 0.2.6-r3.2.2_2a
r-htmlwidgets | 0.5-r3.2.2_0a
r-httpuv | 1.3.3-r3.2.2_0a
r-irdisplay | 0.3-r3.2.2_0a
r-irkernel | 0.5-r3.2.2_2
r-iterators | 1.0.8-r3.2.2_0a
r-jsonlite | 0.9.17-r3.2.2_0a
r-kernsmooth | 2.23_15-r3.2.2_0a
r-knitr | 1.11-r3.2.2_0a
r-labeling | 0.3-r3.2.2_2a
r-lattice | 0.20_33-r3.2.2_0a
r-lazyeval | 0.1.10-r3.2.2_3a
r-lme4 | 1.1_10-r3.2.2_0a
r-magrittr | 1.5-r3.2.2_2a
r-maps | 3.0.0_2-r3.2.2_0a
r-markdown | 0.7.7-r3.2.2_1a
r-mass | 7.3_45-r3.2.2_0a
r-matrix | 1.2_2-r3.2.2_0a
r-matrixmodels | 0.4_1-r3.2.2_0a
r-mgcv | 1.8_9-r3.2.2_0a
r-mime | 0.4-r3.2.2_0a
r-minqa | 1.2.4-r3.2.2_1a
r-munsell | 0.4.2-r3.2.2_2a
r-nlme | 3.1_122-r3.2.2_0a
r-nloptr | 1.0.4-r3.2.2_2a
r-nnet | 7.3_11-r3.2.2_0a
r-pbkrtest | 0.4_2-r3.2.2_2a
r-plyr | 1.8.3-r3.2.2_0a
r-proto | 0.3_10-r3.2.2_2a
r-quantmod | 0.4_5-r3.2.2_0a
r-quantreg | 5.19-r3.2.2_0a
r-r6 | 2.1.1-r3.2.2_0a
r-randomforest | 4.6_12-r3.2.2_0a
r-rbokeh | 0.2.2-r3.2.2_0a
r-rcolorbrewer | 1.1_2-r3.2.2_3a
r-rcpp | 0.12.2-r3.2.2_0a
r-rcppeigen | 0.3.2.5.1-r3.2.2_0a
r-recommended | 3.2.2-r3.2.2_0
r-repr | 0.3-r3.2.2_0a
r-reshape2 | 1.4.1-r3.2.2_2a
r-rjsonio | 1.3_0-r3.2.2_1a
r-rmarkdown | 0.8.1-r3.2.2_0a
r-rpart | 4.1_10-r3.2.2_0a
r-rzmq | 0.7.7-r3.2.2_2a
r-scales | 0.3.0-r3.2.2_0a
r-shiny | 0.12.2-r3.2.2_0a
r-sparsem | 1.7-r3.2.2_0a
r-spatial | 7.3_11-r3.2.2_0a
r-stringi | 1.0_1-r3.2.2_0a
r-stringr | 1.0.0-r3.2.2_0a
r-survival | 2.38_3-r3.2.2_0a
r-tidyr | 0.3.1-r3.2.2_0a
r-ttr | 0.23_0-r3.2.2_0a
r-uuid | 0.1_2-r3.2.2_0a
r-xtable | 1.8_0-r3.2.2_0a
r-xts | 0.9_7-r3.2.2_0a
r-yaml | 2.1.13-r3.2.2_1a
r-zoo | 1.7_12-r3.2.2_1a
zeromq | 4.0.5-1

## More Resources

- Using Anaconda with the R programming language
- How to get R Essentials