Language and environment for statistical computing and graphics
R is a system for statistical computation and graphics. It consists of a language plus a run-time environment with graphics, a debugger, access to certain system functions, and the ability to run programs stored in script files.
The core of R is an interpreted computer language which allows branching and looping as well as modular programming using functions. Most of the user-visible functions in R are written in R. It is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages for efficiency. The R distribution contains functionality for a large number of statistical procedures. Among these are: linear and generalized linear models, nonlinear regression models, time series analysis, classical parametric and nonparametric tests, clustering and smoothing. There is also a large set of functions which provide a flexible graphical environment for creating various kinds of data presentations. Additional modules ("add-on packages") are available for a variety of specific purposes.
released on 31 October 2022
git clone https://salsa.debian.org/edd/r-base.git
3 November 2022
Leaders and contributors
Resources and communication
|Subversion||VCS Repository Webview||https://svn.r-project.org/R/|
This entry (in part or in whole) was last reviewed on 3 November 2022.
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