Environment for statistical computing and graphics
R is a language and environment for statistical computing and graphics. It provides a variety of statistical techniques, such as linear and nonlinear modeling, classical statistical tests, time-series analysis, classification and clustering. It also provides robust support for producing publication-quality data plots. A large amount of 3rd-party packages are available, greatly increasing its breadth and scope.
The R statistical computing environment has become the de-facto standard for writing statistical software among statisticians and has made substantial inroads in the social sciences. it is now possibly the most widely used statistical software in the world.
DocumentationUser manuals available at https://cran.r-project.org/manuals.html
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released on 6 June 2020
svn checkout https://svn.r-project.org/R/trunk/ r-source
25 April 2020
Leaders and contributors
Resources and communication
|VCS Repository Webview||https://svn.r-project.org/R/|
|Debian (Ref) (R)||https://tracker.debian.org/pkg/r-base|
This entry (in part or in whole) was last reviewed on 6 June 2020.
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