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Similar to Python, the some basic R modules are included in the analysis_toolbox. Currently, there is no R-Studio available but we are planning to install it in the September-2023 update of the analysis_toolbox. Be aware that we still recommend against using graphical interfaces since that's not what an HPC is designed for. Our recommended workflow for using R is either with the interactive session and the R IDLEIDE, or via Rscript and sbatch script:
Interactive session with R
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IDE
From Albedo's login node:
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$ module load analysis_toolbox$ R
The R IDLE IDE will open and you can start using R from there.
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The command Rscript allows you to run an R script you wrote from the shell (outside of R IDLE IDE or R-Studio). This means that you can also write a sbatch script (see Albedo-Slurm > Jobs) that runs your R scripts via Rscript and submit it to the slurm queue using sbatch command. You can even use the slurm array feature to launch the same R script multiple times in parallel if what your script does can be broken into multiple computing chunks. Depending on your R script it might need more or less changes, but it's probably worth to spend the time on chaning it to be able to benefit from this first order parallelization. For a simple example on slurm array + Rscript the following tutorial covers most of it: https://rcpedia.stanford.edu/topicGuides/jobArrayRExample.html
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