To run R interactively on a compute node, follow these two steps: For more information on jobs, see our Running Jobs user guide.

Processes left running on login nodes may be terminated without warning. Unless you are only running a small test, please make sure to run your program as a job interactively on a compute node. Running R in interactive modeĪ common mistake for new users of HPC clusters is to run heavy workloads directly on a login node (e.g., or ). RStudio Server is available to use on compute nodes via our OnDemand service. You can customize the R startup process by creating ~/.Rprofile and ~/.Renviron files. You can install other R packages that you need in your home or project directories (see the section on installing packages below). Some R packages have already been installed and are available to use after loading an R module. Use a Singularity container with R installed.Compile and install a different version of R from source within one of your directories.If you require a different version of R that is not currently installed, please submit a help ticket and we will install it for you. In addition, loading an R module will automatically load a few common dependency modules. Loading the modules also ensures that any R packages installed from source are built using these same versions of GCC and OpenBLAS. These modules need to be loaded first because R was built with the GCC compiler and linked to the OpenBLAS linear algebra library for improved performance. The R modules depend on gcc and openblas modules. To see all available versions of R, enter: module spider r Older versions of R are available and require different dependency modules. In either mode, first load a corresponding software module: module purge module load gcc/11.3.0 module load openblas/0.3.20 module load r/4.2.1 You can use R in either interactive or batch modes. You can find instructions for this in the Getting Started with Discovery or Getting Started with Endeavour user guides.

Using R on CARC systemsīegin by logging in. R is an open-source programming environment and language designed for statistical computing and graphics.

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