Note

The process that will be detailed works as of time of writing this workshop.

We will monitor this process - but if this doesn’t work then please contact ARCC.

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General Process

Info

We will use the Conda Environment that we created in: Basic R Conda Environment

Process:

From the command-line set:

Code Block
# Using the path to your conda environment. # In this case: /project/

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<project-name>/software/conda-envs/r_4.3.3_env
export PATH=$PATH:/project/

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<project-name>/software/conda-envs/r_4.3.3_env/bin/
export RSTUDIO_WHICH_R=/project/

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<project-name>/software/conda-envs/r_4.3.3_env/lib/R/bin/R

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What did we do?

Info
Using the path to the conda environment in which we setup R, we extended the `PATH` environment to this conda environments bin folder, and then set the `RSTUDIO_WHICH_R` environment variable to the R executable within this environment.

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Note

There is a rstudio conda package, but this hasn’t been updated since early 2020.

Due to the age of this version, ARCC has not tried to use this old version.

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Using R and RStudio within OnDemand

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