HubHip: Science: Math: Statistics: Software: S: R (17)

DescriptionR, 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.

S-Plus (4)
Internet (5)

R

R Resources (Site) - Packages: MCL/square tables with special restrictions; multiway percentage tables; perturb evaluates collinearity by adding random noise to variables for categorical variables and non-regression models.
An Introduction to R (Site) - Derived from an original set of notes describing the S and S-Plus environments.
Books about R (Site) - Sells printed copies of free software manuals, including the official R introduction (tutorial) and both reference manuals. [Network Theory Ltd.]
RPy (Site) - 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]
R Project for Statistical Computing (Site) - 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]
Omegahat R Package Download Area (Site) - Over 30 R packages, libraries, released as part of Omegahat project. Many are bindings to other languages: Python, Gtk, XML; COM, SOAP, etc. Most can also be used with S-Plus. [Open Source, BSD-like]
R Statistical Programming Language (Site) - Brief description and book list with links; links to resources, history, comparisons, packages useful in Management.
Comprehensive R Archive Network (Site) - Network of FTP and Web servers around the world that store identical, up-to-date, versions of r code, documentation.
Universal GUI for R (Site) - JGR is a universal and platform independent GUI for R. It features many tools like, advanced editor, object browser, flexible data input/output, package management and many more innovative features.

R Resources (Site) - Packages: MCL/square tables with special restrictions; multiway percentage tables; perturb evaluates collinearity by adding random noise to variables for categorical variables and non-regression models.
An Introduction to R (Site) - Derived from an original set of notes describing the S and S-Plus environments.
Books about R (Site) - Sells printed copies of free software manuals, including the official R introduction (tutorial) and both reference manuals. [Network Theory Ltd.]
RPy (Site) - 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]
R Project for Statistical Computing (Site) - 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]
Omegahat R Package Download Area (Site) - Over 30 R packages, libraries, released as part of Omegahat project. Many are bindings to other languages: Python, Gtk, XML; COM, SOAP, etc. Most can also be used with S-Plus. [Open Source, BSD-like]
R Statistical Programming Language (Site) - Brief description and book list with links; links to resources, history, comparisons, packages useful in Management.
Comprehensive R Archive Network (Site) - Network of FTP and Web servers around the world that store identical, up-to-date, versions of r code, documentation.
Universal GUI for R (Site) - JGR is a universal and platform independent GUI for R. It features many tools like, advanced editor, object browser, flexible data input/output, package management and many more innovative features.
Statistical Programming with R: Part 2. Functional Programming and Data Exploration () - Now that the data is correct, delves into functionality of system. Text, code samples, graphics. [developerWorks]
Server Clinic: R Handy for Crunching Data () - Beginner introduction with code samples, further reading. [developerWorks]
Statistical Programming with R: Part 1. Dabbling with a Wealth of Statistical Facilities () - Intermediate introduction, abilities. Text, code samples, graphics. [developerWorks]