Create Your Own R Environment
We recommend setting up your own R installation using Conda so you can manage your own packages and dependencies. You can find detailed instructions on our Conda page.
We also provide a basic R installing on some of the clusters which you can use. However, if you find it is missing packages you need, we recommend setting up your own environment as described above.
Run one of the commands below, which will list available versions and the corresponding module files:
module avail R
Load the appropriate module file. For example, to run version 3.4.1:
module load R/3.4.1-foss-2016b
The module load command sets up your environment, including the PATH to find the proper version of R.
To run R, launch it using the
# launch an R session R # or to launch a script R --slave -f myscript.R
The R program is too large to fit on a login node. If you try to run it there, it will crash. Instead, launch it in an interactive or batch job (see below).
To run R interactively, you need to launch an interactive session on a compute node. For example
srun --pty -p interactive -t 4:00:00 bash
Once your interactive session starts, you can load the appropriate module file and start R as described above.
See our Slurm documentation for more detailed information on requesting resources for interactive jobs.
To run R in batch mode, you create a batch script. In that script, you would invoke your R script in batch mode.
#!/bin/bash #SBATCH -J my_r_program R --slave -f myscript.R