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R, also known as GNU S, is a strongly functional, highly extensible programming language, with a general interactive shell environment, extensive graphing abilities, a huge set of functions for mathematical and statistical manipulations and exploration of data sets, with even more available in optional libraries/packages. It provides a wide variety of statistical (linear and nonlinear modeling, classical statistical tests, time series analysis, classification, clustering, ...) and graphical techniques. It can display many graphical representations of data from a custom command line, and easily output well designed, publication quality plots, including mathematical symbols and formulae where needed. Great care has been given to the defaults for the minor design choices in graphics, but users have full control. The shell has an option to save one full environment per working directory. R is heavily influenced by two extant languages: Becker, Chambers & Wilks' S, and Sussman's Scheme. R is most similar in appearance to the S language and environment, but the underlying implementation and semantics are derived from Scheme. R can be viewed as an implementation of S which is less standard and more different from the other implementations, S and S-Plus. Much code written for S can run unaltered in R. It is also useful for artificial intelligence and machine learning. It is Open Source, with a GPL license.

Subcategories

• Internet
• S-Plus

Resources in This Category

• An Introduction to R

  http://cran.r-project.org/doc/manuals/R-intro.pdf
  Derived from an original set of notes describing the S and S-Plus environments.

• Books about R

  http://www.network-theory.co.uk/R/
  Sells printed copies of free software manuals, including the official R introduction (tutorial) and both reference manuals. [Network Theory Ltd.]

• Comprehensive R Archive Network

  http://www.cran.r-project.org/
  Network of FTP and Web servers around the world that store identical, up-to-date, versions of r code, documentation.

• CRAN Task Views

  http://cran.r-project.org/web/views/
  A directory of links to R packages, sorted by topic, by prominant figures in the R community

• JGR - Java GUI for R

  http://rforge.net/JGR/
  A universal and platform independent GUI for R. It features many tools like advanced editor, object browser, flexible data input/output, and package management.

• Jobs for R-users

  http://www.r-users.com/
  A job board for people and companies looking to hire R users (for programming, data science, teaching).

• R - Books

  http://www.r-project.org/doc/bib/R-books.html
  An extensive list (with brief comments) of R-related books

• R for Windows FAQ

  http://cran.r-project.org/doc/FAQ/R-FAQ.html
  Answers many questions on installing, packages, customizing, Windows features, building from source.

• R Project for Statistical Computing

  http://www.r-project.org/
  R, also called GNU S, is a strongly functional language and environment to statistically explore data sets, make many graphical displays of data from custom command line, shell has option to save one full environment per working directory. Descriptions, documents, downloads. [Open Source, GPL]

• R-bloggers

  http://www.r-bloggers.com/
  A center for R users to find and read bloggers who write about the statistical programming language, R.

• Rcpp

  http://www.rcpp.org/
  A C++ API for R, along with associated classes to allow for the integration of C++ into R code.

• RPy

  http://rpy.sourceforge.net/
  R from Python. Simple, robust, Python interface to R; manage all kinds of R objects and execute arbitrary R functions, including graphics. Converts all R errors to Python exceptions. Use any R module from within Python. [Open Source, GPL]

• Rseek

  http://www.rseek.org/
  A custom front-end to Google search engine to assist in finding content related to the R language.

• Rstudio

  http://www.rstudio.com/
  A powerful and productive user interface for R. It’s free and open source, and works great on Windows, Mac, and Linux.

• Server Clinic: R Handy for Crunching Data

  http://www.ibm.com/developerworks/linux/library/l-sc16.html
  Beginner introduction with code samples, further reading. [developerWorks]

• The Omega Project for Statistical Computing

  http://www.omegahat.org/
  Over 30 R packages, libraries, released as part of Omegahat project. Many are bindings to other languages such as Python, Gtk, XML; COM, and SOAP. Most can also be used with S-Plus. [Open Source, BSD-like]

• The R Journal

  http://journal.r-project.org/
  An open access, refereed journal of the R project for statistical computing.

Related Categories

• Home > Computers > Artificial Intelligence > Machine Learning > Software
• Home > Computers > Programming > Languages > Functional
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