R - statistical computing and graphics
Description
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R.
R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity". ...
Read more on the R home page
| Version | Build Date | Installation Path | modulefile | compiler |
|---|---|---|---|---|
| R 3.5.1 (gcc) | 06-oct-2018 | /sw/viz/R/3.5.1 | R/3.5.1 | gcc/8.2.0.hlrn |
| R 3.6.2 (gcc) | 05-feb-2020 | /sw/viz/R/3.6.2 | R/3.6.2 | gcc/7.5.0 |
| R 4.0.2 (gcc) | 18-aug-2020 | /sw/viz/R/4.0.2 | R/4.0.2 | gcc/8.3.0 |
| rstudio 0.98.1102 | 01-Aug-2014 | /sw/viz/R/rstudio_0.98.1102 | R/3.5.1 |
For a manual consult the R home page.
Prerequisites
For the installation of R-packages by users with the help of rstudio or Rscript, the appropriate compiler module must be loaded in addition to the R-module.