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R resources - Packages

lvalnegri
Aug 10th, 2016
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  1. ################################################################################################################
  2. # ADDITIONAL LIBRARIES TO INSTALL IN UBUNTU
  3. #
  4. # for devtools:     sudo apt-get install curl  &&  sudo apt-get install libcurl4-gnutls-dev
  5. # for RMySQL:       sudo apt-get install libmysqlclient-dev
  6. # for openssl:      sudo apt-get install libssl-dev (this is needed also for many subsequent packages)
  7. # for rgdal:        sudo aptitude install libproj-dev
  8. # for rgeos:        sudo aptitude install libgdal-dev
  9. # for geojsonio:    sudo apt-get install libv8-3.14-dev (must be installed AFTER rgdal & rgeos)
  10. # for XML:          sudo apt-get install libxml2-dev
  11. # for rgl:          sudo apt-get build-dep r-cran-rgl  
  12. # for EBImage:      sudo apt-get install libfftw3-dev
  13. # for rJava:        sudo apt-get install openjdk-7-*  &&  sudo R CMD javareconf
  14. # for diagrammeR:   sudo apt-get install librsvg2-dev
  15. ################################################################################################################
  16.  
  17. ### DATA I/O
  18.  - for csv/tsv/txt files no package is required. Just use the core functions: read.csv, read.delim, read.table, read.fwf; or even the *scan* function
  19.  - [readr](http://github.com/hadley/readr '') -
  20.  - [rio](http://cran.r-project.org/web/packages/rio/ '') - Pull a lot of separate data-reading packages into one, so you just need to remember 2 functions: import and export.
  21.  - [readxl](http:// '') - Excel files
  22.  - [xlsx]( '') - Excel files
  23.  - [XLConnect]( '') - Excel files
  24.  - [openxlsx](http://github.com/awalker89/openxlsx '') - Excel files
  25.  - [XML](http://cran.r-project.org/web/packages/XML/ '') - Read and create XML documents with R
  26.  - [jsonlite](http://www.opencpu.org/posts/jsonlite-a-smarter-json-encoder/ '') - Create, read and write JSON data tables
  27.  - [rjson]( '') -
  28.  - [downloader](http://github.com/wch/downloader '') - Wrapper for base R download function that eases dealing with files over https
  29.  - [googlesheets](http://github.com/jennybc/googlesheets '') - Easily read data into R from Google Sheets
  30.  - [foreign](http:// '') - other (mostly proprietary) stats programs
  31.  - [RMySQL](http://cran.r-project.org/web/packages/RMySQL/ '')  - connector to a MySQL database
  32.  - [RPostgresSQL](http:// '') - connector to a PostgreSQL database
  33.  - [RODBC](http:// '') - connector to a database who does not have a standalone driver (like MSSQL, see [here]() for explanations on a linux box)
  34.  - [rmongodb](http:// '') - connector to a mongoDB database
  35.  - [RSQLite](http:// '') - connector to a SQLite database
  36.  - [sqldf](http://github.com/ggrothendieck/sqldf '') - Run SQL queries on any data frame with [sqldf syntax](http://www.sqlite.org/lang.html '')
  37.  
  38.  
  39. ### DATA MANIPULATION (acting on atomics)
  40.  - [stringr](http://github.com/hadley/stringr '') - Easy to learn tools for text manipulation, regular expressions included. Most functions are prefixed with `str_` so they are very easy to remember.
  41.  - [lubridate](http://github.com/hadley/lubridate '') - Tools that make working with dates and times easier.
  42.  - [qdapRegex](http:// '') - Collection of reg-expr tools built in the context of discourse analysis (see qdap package), though often useful outside of it
  43.  
  44.  
  45. ### DATA WRANGLING (including EDA) (acting on structures)
  46.  - [data.table](http://rawgit.com/wiki/Rdatatable/data.table/vignettes/datatable-intro-vignette.html '') - An alternative way to organize data sets for very, very fast operations. Useful when dealing with large data sets.
  47.  - [dplyr](http://cran.rstudio.com/web/packages/dplyr/ '') - Essential shortcuts for subsetting, summarizing, rearranging, and joining together data sets. dplyr is our go to package for fast data manipulation.
  48.  - [plyr](http://plyr.had.co.nz/ '') - An easy to use substitute for *split-apply-combine* functionality in Base R: *split* a data structure into groups, *apply* a function on each group, *combine* and return the results in a possibly different data structure. Even if a bit outdated, still great when dealing with lists
  49.  - [tidyr](http://github.com/hadley/tidyr '') - Tools for changing the layout of any dataframe. Use the gather and spread functions to convert your data into the tidy format, the layout R likes best.
  50.  - [reshape2](http://github.com/hadley/reshape '') - Change data row and column formats from "wide" to "long"; turn variables into column names or column names into variables and more. Look at the tidyr package for a newer, more focused option
  51.  - [purrr](https://github.com/hadley/purrr) - Completes R's functional programming tools with important features from other languages
  52. - [scales](http://cran.r-projects.com/web/packages/scales/ '') -
  53. - [xda](http:// '') - contains several tools to perform initial exploratory analysis on any input dataset.
  54. - [funModeling](http://github.com/pablo14/funModeling ) -
  55. - [gmodels](http://cran.r-project.org/web/packages/gmodels/) -
  56. - [rowr](https://cran.r-project.org/web/packages/rowr/) - Allows the manipulation of R objects as if they were organized rows in a way that is familiar to people used to working with databases.
  57.  
  58.  
  59. ### DATA IMPUTATION, OUTLIERS, ANOMALY DETECTION
  60. - [mice](http:// '')
  61. - [Amelia](http:// '')
  62. - [missForest](http:// '')
  63. - [Hmisc](http:// '')
  64. - [mi](http:// '')
  65. - [VIM](http:// '')
  66. - [rrcovNA](http:// '')
  67. - [mvnmle](http:// '')
  68. - [missMDA](http:// '')
  69. - [norm](http:// '')
  70. - [softimpute](http:// '')
  71.  
  72.  
  73. ### DATA DISPLAY
  74. - [xtable](http:// '') - The xtable function takes an R object (like a data frame) and returns the latex or HTML code you need to paste a pretty version of the object into your documents. Copy and paste, or pair up with R Markdown.
  75. - [DT](http://rstudio.github.io/DT/ '') - R interface to the open-source JS library [DataTables](https://datatables.net/)
  76. - [formattable](http://renkun.me/formattable/ '') -
  77. - [rhandsontable](http://jrowen.github.io/rhandsontable/ '') -
  78. - [sparktable]( '') -
  79. - [rpivotTable](http://github.com/smartinsightsfromdata/rpivotTable '') -
  80. - [D3TableFilter](http:// '')
  81. - [listviewer](http:// '')
  82.  
  83.  
  84. ### DATA VISUALIZATION
  85. - [ggplot2](http://docs.ggplot2.org/current/ '') - The most famous package for making beautiful graphics in R. ggplot2 lets you use the [grammar of graphics](http://vita.had.co.nz/papers/layered-grammar.pdf 'A paper by Hadley Wickham') to build layered, customizable plots
  86. - [ggExtra](http://github.com/daattali/ggExtra '') - Add marginal plots to ggplot2
  87. - [ggfortify](http://cran.r-project.org/web/packages/ggfortify/ '') - Data Visualization Tools for Statistical Analysis Results in a unified style using 'ggplot2'
  88. - [ggiraph](http://davidgohel.github.io/ggiraph/introduction.html) - It extends ggplot2 with new interactive geom functions
  89. - [ggvis](http:// '') - Interactive, web based graphics built like ggplot2 with the grammar of graphics (someone said that ggvis would have been the new version of ggplot2, but Hadley just released ggplot2 2 last december)
  90. - [rCharts](http://rcharts.io/ '') -
  91. - [dygraphs](http://rstudio.github.io/dygraphs/ '') - Wrapper for the JS library graphs of time series, one-line command if your data is an xts object.
  92. - [plotly](http://plot.ly/r/ '') - R interface to the open-source JS library [Plotly](http://plot.ly/javascript/). It includes a ggplotly() function to convert on the fly graphs created with ggplot2
  93. - [highcharter](http:// '') - R interface to the open-source JS library [Highcharts](http://www.highcharts.com/)
  94. - [rbokeh](http://hafen.github.io/rbokeh/ '') - R interface to the open-source JS library [Bokeh](http://bokeh.pydata.org/)
  95. - [d3heatmap](https://github.com/rstudio/d3heatmap '') -
  96. - [metricsgraphics](http://hrbrmstr.github.io/metricsgraphics/ '') - R interface to the JS library [metricsgraphics](http://metricsgraphicsjs.org/) for bare-bones line, scatterplot and bar charts
  97. - [scatterD3](http://github.com/juba/scatterD3 '') - Interactive scatter plots visualization
  98. - [rcdimple](http://github.com/timelyportfolio/rcdimple '') - R interface to the JS library [dimple]()
  99. - [timevis](http://github.com/daattali/timevis '') - Interactive timeline visualizations in R.
  100. - [wordcloud2](http://github.com/lchiffon/wordcloud2 ) - R interface to the JS library [wordcloud2](https://github.com/timdream/wordcloud2.js)
  101. - [animation]( '') -
  102. - [misc3d]() - Miscellaneous functions for three dimensional plots
  103. - [threejs](http://github.com/bwlewis/rthreejs '') - Interactive 3D scatterplots and 3D globes.
  104. - [rgl](http:// '') - Interactive 3D visualizations with R
  105. - [animint](http://github.com/tdhock/animint '')
  106. - [googleVis](http://github.com/mages/googleVis '') - wrapper for the Google Chart API
  107. - [hexbin]( '') - provides bivariate binning into hexagonal cells, in an attempt to override overlapping in scatterplots
  108. - [RColorBrewer](http://cran.r-project.org/web/packages/RColorBrewer/index.html '') - RColorBrewer helps you select adequate color palettes for any visualization. See also the original [ColorBrewer](http://colorbrewer2.org/ '') website
  109. - [Rgraphviz]( '') - provides plotting capabilities for R graph objects
  110.  
  111.  
  112. ### DATA MODELING
  113. - [stats](http://stat.ethz.ch/R-manual/R-devel/library/stats/html/00Index.html) - Contains functions for statistical calculations and random number generation
  114. - [broom](http://cran.r-project.org/web/packages/broom/ '') - Convert Statistical Analysis Objects into Tidy Data Frames
  115. - [car](http:// '') - package linked to the book **An R Companion to Applied Regression**
  116. - [rms](http://biostat.mc.vanderbilt.edu/wiki/Main/RmS '') -
  117. - [mgcv](http:// '') - Generalized Additive Models
  118. - [lme4/nlme](http:// '') - Linear and Non-linear mixed effects models
  119. - [multcomp](http:// '') - Tools for multiple comparison testing
  120. - [vcd](http:// '') - Visualization tools and tests for categorical data
  121. - [glmnet](http://cran.r-project.org/web/packages/glmnet/ '') - Lasso and elastic-net regularized GLM with cross validation
  122. - [lars](https://cran.r-project.org/web/packages/lars/ '') -
  123. - [survival](http:// '') - Tools for survival analysis
  124. - [FFTrees]() - Fast and frugal trees make very fast decisions based on a few pieces of information and ignore all others
  125. - [dismo](http:// '') - Boosted Regression Trees for ecological modeling
  126.  
  127. ### DATA MINING, MACHINE LEARNING, NEURAL NETWORK, TEXT ANALYTICS, IMAGE RECOGNITION
  128. - [mlr](http://github.com/mlr-org/mlr '') - Interface to a large number of classification and regression techniques. [Here](http://mlr-org.github.io/mlr-tutorial/release/html/) for a tutorial
  129. - [class](http://cran.r-project.org/web/packages/class/ '') - Various functions for classification, including KNN, LVQ and SOM.
  130. - [caret](http://cran.r-project.org/web/packages/caret/ '') - Tools for Classification And REgression Training models, with the intent to combine model training and prediction. A set of functions that attempt to streamline the process for creating predictive models
  131. - [klaR](http://cran.r-project.org/web/packages/klaR '') - Miscellaneous functions for classification and visualization
  132. - [ROCR](http://cran.r-project.org/web/packages/ROCR/) - Visualizing the performance of scoring classifiers
  133. - [pROC](http://cran.r-project.org/web/packages/pROC/ '') - Display and Analyze ROC Curves
  134. - [randomForest](http://cran.r-project.org/web/packages/randomForest/ '') - Classification methods used to create large number of decision trees, then each observation is inputted into the decision tree. The common output obtained for maximum of the observations is considered as the final output.
  135. - [e1071](http://cran.r-project.org/web/packages/e1071/ '') - Latent class analysis, support vector machine, fuzzy clustering, Fourier transforms, shortest path computation, bagged clustering, naive Bayes classifier, ...
  136. - [tree](http://cran.r-project.org/web/packages/tree/ '') - Classification and regression trees.
  137. - [rpart](http://cran.r-project.org/web/packages/rpart/ '') - Recursive Partitioning And Regression Trees: classification/regression models using a two stage procedure, with the resultant model represented in the form of binary trees
  138. - [party](http://cran.r-project.org/web/packages/party/ '') - recursive partitioning, using ensemble methods, to build decision trees based on Conditional Inference algorithm
  139. - [partykit](http://cran.r-project.org/web/packages/partykit/ '') - A Toolkit for Recursive Partytioning
  140. - [arules](http://cran.r-project.org/web/packages/arules/ '') - Mining Association Rules and Frequent Itemsets
  141. - [nnet](http://cran.r-project.org/web/packages/nnet/ '') - Feed-forward Neural Networks and Multinomial Log-Linear Models
  142. - [neuralnet](http://cran.r-project.org/web/packages/neuralnet/ '') - Training of neural networks using back-propagation
  143. - [kknn](https://cran.r-project.org/web/packages/kknn/ '') - Weighted k-Nearest Neighbors for Classification, Regression and Clustering
  144. - [kernlab](http://cran.r-project.org/web/packages/kernlab/ '') - KERNel-based Machine Learning LABoratory
  145. - [C50](http:// '') -
  146. - [gbm](http://cran.r-project.org/web/packages/gbm/ '') - Gradient Boosting Machine
  147. - [AppliedPredictiveModeling](http:// '') -
  148. - [earth](http:// '') -
  149. - [mda](http:// '') -
  150. - [tau](http://cran.r-project.org/web/packages/tau/ '') - Text Analysis Utilities
  151. - [ada](http://cran.r-project.org/web/packages/ada/) - Stochastic Boosting
  152. - [adabag](http://www.jstatsoft.org/index.php/jss/article/view/v054i02/adabag_An_R_Package_for_Classification_with_Boosting_and_Bagging.pdf) - Classification with Boosting and Bagging
  153. - [RoogleVision](http:// '') - a Package for Image Recognition
  154.  
  155.  
  156. ### DATA REPORTING
  157. - [shiny](http://shiny.rstudio.com/, 'shiny ') - Easily make interactive, web apps with R. A perfect way to explore data and share findings with non-programmers.
  158. - [shinyDashboard](http://rstudio.github.io/shinydashboard/ '') - Makes it easy to use Shiny to create dashboards-like apps.
  159. - [shinythemes](http://rstudio.github.io/shinythemes/ '') - Makes it easy to alter the overall appearance of any Shiny app
  160. - [shinyjs](http://github.com/daattali/shinyjs '') - It lets you perform common useful JS operations in Shiny apps without having to actually know any JS
  161. - [shinyBS](http://ebailey78.github.io/shinyBS/index.html '') - Add additional functionality and interactivity to Shiny apps, like Alerts, Tooltips and Popovers.
  162. - [rmarkdown](http://rmarkdown.rstudio.com/, 'rmarkdown') - The perfect workflow for reproducible reporting. Write R code in your markdown reports. When you run render, R Markdown will replace the code with its results and then export your report as an HTML, pdf, or MS Word document, or a HTML or pdf slideshow. The result? Automated reporting. R Markdown is integrated straight into RStudio.
  163. - [flexdashboard](http://rmarkdown.rstudio.com/flexdashboard/ '') - A flexible and easy way to specify row and column-based layouts, to publish a group of related data visualizations as a dashboard.
  164. - [bookdown](http://bookdown.org/yihui/bookdown/ ) - This is not what many people would a *fundamental* package, but if you are in the mood to author a book
  165.  
  166. ### WEB, DIGITAL ANALYTICS, SOCIAL MEDIA MINING
  167. - [RCurl]( '') - Composition of general HTTP requests, functions to fetch URLs, to get and post web data
  168. - [httr](http:// '') - A set of useful tools for working with http connections
  169. - [rvest](http://cran.r-project.org/web/packages/rvest/vignettes/selectorgadget.html '') Web scraping: Extract data from HTML pages. Works well with Selectorgadget.
  170. - [RGoogleAnalytics](http://www.tatvic.com/blog/google-analytics-data-extraction-in-r/ ) - A bridge to **Google Analytics**
  171. - [GAR](http://github.com/andrewgeisler/GAR ) - Another interface to **Google Analytics**
  172. - [rga](http://github.com/skardhamar/rga/ '') - One more interface to **Google Analytics**
  173. - [RSiteCatalyst](http://randyzwitch.com/rsitecatalyst/ '') - An interface to **Adobe Analytics**
  174.  
  175.  
  176. ### MATRIX CALCULUS
  177. - [Matrix](http://cran.r-project.org/web/packages/Matrix/ '') - Sparse and Dense Matrix Classes and Methods
  178. - [svd](https://cran.r-project.org/web/packages/svd/ '') - Interface to Lanczos SVD and eigensolvers from R
  179. - [irlba](http://illposed.net/irlba.pdf '') - Provides a fast way to compute partial SVDs and principal component analyses of very large scale data
  180.  
  181.  
  182. ### TIME SERIES, FORECASTING, FINANCIAL DATA, QUANT
  183. - [zoo](http://cran.r-project.org/web/packages/zoo/) - Provides the most popular format for saving and handling with time series objects in R.
  184. - [xts](http://) - Very flexible tools for manipulating time series data sets.
  185. - [forecast]() - forecast makes it incredibly easy to fit time series models like ARIMA, ARMA, AR, Exponential Smoothing, etc.
  186. - [quantmod](http://www.quantmod.com/examples/intro/) - Tools for downloading financial data, plotting common charts, and doing technical analysis.
  187. - [TTR](http://cran.r-project.org/web/packages/TTR/) - Fast and Flexible Technical Analysis
  188. - [qundl](http://www.quandl.com/tools/r/ '') -
  189. - [fMultivar](http://cran.r-project.org/web/packages/fMultivar/fMultivar.pdf '') - Analysis and Modeling of Multivariate Financial Return Distributions
  190.  
  191. ### GRAPHS, NETWORKS
  192. - [RNeo4j](http://github.com/nicolewhite/RNeo4j) -
  193. - [igraph](http://igraph.org/r/) - A collection of network analysis tools
  194. - [visNetwork](http://datastorm-open.github.io/visNetwork/) - R interface to the open-source JS library [vis.js](http://visjs.org/)
  195. - [network3D](http://christophergandrud.github.io/networkD3/) - network graphs
  196. - [DiagrammeR](http://rich-iannone.github.io/DiagrammeR/) - R interface to the open-source JS libraries [mermaid.js](http://github.com/knsv/mermaid) and [Graphviz](http://www.graphviz.org/), capable of generating diagrams and flowcharts from text in a similar manner as markdown.
  197.  
  198. ### SPATIAL DATA (the emphasis here is on economic and social applications)
  199.  
  200. #### GENERIC
  201. - [sp](http://cran.rstudio.com/web/packages/sp/index.html '') - Provides classes and methods for spatial data
  202. - [rgdal](http:// '') - R’s interface to the popular C/C++ *Geospatial Abstraction Library* [GDAL](http://www.gdal.org/ ''), that enables R to handle a broader range of spatial data formats.
  203. - [rgeos](http:// '') - Tools for handling spatial operations on topologies. R’s interface to the powerful vector processing library [geos](http://trac.osgeo.org/geos/ '')
  204. - [PSBmapping]( '') -
  205.  
  206. #### MAPPING
  207. - [maptools](http:// '') - provides various functions for manipulating and reading spatial data
  208. - [maps](http:// '') - Easy to use map polygons for plots
  209. - [mapview](https://github.com/environmentalinformatics-marburg/mapview '') - Interactive visualization of spatial objects in R
  210. - [tmap](https://github.com/mtennekes/tmap '') - Quick and easy thematic mapping in R
  211. - [ggmap](http:// '') - extends the plotting package ggplot2 for maps. It enables downloading street maps from Google/OS maps, and use them as a background.
  212. - [leaflet](http://rstudio.github.io/leaflet/ '') - Interactive mapping tools as a wrapper for JS leaflet, from htmlwidgets
  213. - [GISTools](http://cran.r-project.org/web/packages/GISTools/GISTools.pdf '') - Mapping and spatial data manpulation tools
  214. - [OpenStreetMap]( '') - Access high res raster maps and satellite imagery to use as a background
  215. - [RgoogleMaps]( '') - Easily maps any data onto Google Map tiles
  216. - [googleVis]( '') - Generic package for data viz that contains some functions specifically targeted for mapping
  217. - [choroplethr](http:// '') - mapping tool
  218. - [RWorldMap]( '') - lets map easily global data
  219. - [raster]( '') - Functions for I/O, manipulating and modeling of gridded rasters or spatial data
  220. - [rasterVis]( '') - raster visualization
  221.  
  222. =#### ANALYSIS, GEOCOMPUTATION
  223. - [gstat](http://cran.rstudio.com/web/packages/gstat/index.html '') - Functions for spatital and spatio-temporal geostatistical modeling, prediction and simulation
  224. - [geoR]( '') - Geostatistical analysis
  225. - [GeoXp]( '') - Interactive exploratory spatial data analysis
  226. - [spatstat]( '') - Spatial Point Pattern analysis
  227. - [spdep]( '') - A collection of functions and tests for evaluating spatial dependence
  228. - [GWmodel]() - Geographically weighted models
  229. - [spatgraphs]( '') - Graph Edge Computations for Spatial Point Patterns
  230. - [spacetime](http://cran.rstudio.com/web/packages/spacetime/index.html '') -
  231. - [trajectories](http://cran.rstudio.com/web/packages/trajectories/index.html '') -
  232. - [akima]( '') - for spline interpolation
  233. - [deldir](http://cran.r-project.org/web/packages/deldir/deldir.pdf '') - Functions to calculate and manipulate Delaunay Triangulations and Dirichlet or Voronoi tessellations of points datasets
  234.  
  235.  
  236. ### PROBABILITY, SIMULATION, COMPUTATIONAL STATISTICS
  237. - [boot]( '') - bootstrap calculations
  238. - [deSolve]( '') -
  239. - [cvTools]( '') -
  240. - [laeken]( '') -
  241. - [rlecuyer]( '') -
  242.  
  243.  
  244. ### HIGH PERFORMANCE
  245. - [Rcpp](http:// '') - Write R functions that call C++ code for lightning fast speed.
  246. - [parallel](http:// '') - Use parallel processing in R to speed up your code or to crunch large data sets.
  247. - [foreach](http://cran.r-project.org/web/packages/foreach/ '') -
  248. - [doMC](http://cran.r-project.org/web/packages/doMC/ '') - Multicore processing
  249. - [multicore]( '') -
  250. - [doSNOW ]( '') -
  251. - [SOAR](http://cran.r-project.org/web/packages/SOAR/ '') - Memory management by delayed assignments
  252. - [rbenchmark]( '') -
  253.  
  254.  
  255. ### CLOUD
  256. - [bigrquery](https://github.com/rstats-db/bigrquery '') - provides an R interface to [Google BigQuery](https://developers.google.com/bigquery/ '')
  257.  
  258.  
  259. ### PACKAGE DEVELOPMENT
  260. - [devtools](http://github.com/hadley/devtools/ '') - An essential suite of tools for turning code into an R package. Rstudio has designed cheatsheet [here](http://www.rstudio.com/wp-content/uploads/2015/06/devtools-cheatsheet.pdf)
  261. - [testthat](http:// '') - An easy way to write unit tests for any code projects.
  262. - [roxygen2](http://roxygen.org/#documentation '') - A quick way to document any R packages. roxygen2 turns inline code comments into documentation pages and builds a package namespace.
  263. - [htmlwidgets](http://www.htmlwidgets.org/ '') - A fast way to build interactive (javascript based) displays and visualizations. See also the [gallery](http://gallery.htmlwidgets.org/)
  264. - [installr](http://github.com/talgalili/installr/ '') - (Windows only) Allows to update the installed version of R from within R
  265.  
  266.  
  267. ### BIOCONDUCTOR
  268. [Bioconductor](https://www.bioconductor.org/) provides tools for the analysis and comprehension of high-throughput genomic data. The `biocLite()` command is the recommended way to install *Bioconductor* packages: *Bioconductor* has a repository and release schedule that differs from *R*. Run `source('http://bioconductor.org/biocLite.R')` to get the latest version of *Bioconductor*.
  269. - [IRanges]( '') -
  270. - [AnnotationDbi]( '') -
  271.  
  272.  
  273. ### MISCELLANEA
  274. - [HSAUR](http://cran.r-project.org/web/packages/HSAUR/ '') - Functions, data sets, analyses and examples from the book *A Handbook of Statistical Analyses Using R*
  275. - [MASS](http://cran.r-project.org/web/packages/MASS) - Functions and datasets to support the book [Modern Applied Statistics with S](http://www.stats.ox.ac.uk/pub/MASS4/)
  276. - [swirl]( '')
  277.  
  278.  
  279. ### EXTERNAL RESOURCES
  280. - [font awesome](http://fontawesome.io/icons/ '')
  281. - [Glyphicons](http://getbootstrap.com/components/#glyphicons '')
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