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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 project 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_1.1.453 |
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.
R at HLRN
Modules
Befor Before starting R, load a modulefile
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Running R on the frontends
This is possible, but ressources resources and runtime are is are limited. Be friendly to other users and work on the shared compute nodes!
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The output of salloc shows your job ID. The output of squeue shows the a nodename With squeue you see the node you are going to use. Now login Login with X11-forwarding:
$ ssh -X <nodename>
Load a module file and work interactively as usual. When ready, free the ressourcesresources:
$ scancel <jobID>
You may also use srun:
$ srun -v -p large96:shared --pty --interactive bash
Do not forget to free the resources when ready.
R packages
List of installed R packages
The following packages are installed by default, when a new version of R is installedbuild. Please contact support to extend this list.
Users may request package installation via support or install in their HOME - directory.
Building R-
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packages - users approach
R users Users may install their own packages in the HOME-directory from the rstudio gui or using Rscript. R-packages must be build with the same compiler as R itself was build, see the table above. This happens, when Rscript is used and the appropriate compiler module is loaded. R users may install their own packages in the HOME-directory.
Building R-packages - administrators approach
R administrators may use rstudio or Rscript directly. Hence, for for installation. For installing packages in /sw/viz/R it is requiredsuggested, to use Rscript like
$ Rscript -e 'install.packages("'$package'",repos="'$REPOSITORY'",INSTALL_opts="--html")'Using INSTALL_opts="--html" keeps documentation of installed packages up to date!
This is not appropriatebecomes rapidly work intensive, when installing a huge bundle of packages or even the package set for a new R release. For convinienceconvenience, there is we maintain a list of default packages , and scripts to install them all. These are available located in the installation directory:
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Here also the workarounds are collected needed to install stiff packages.Other users may request package installation via support or install in their HOME - directory., whose developers do not care and do not support all Rscript options.
Documentation
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