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
Selection from the FSF shop
If you have corrections to this entry or questions about it, please contact: mailto:email@example.com
- IRC general channel
released on 24 April 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 25 April 2020.
Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.
The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.