R#
System-wide Installations#
There are several versions of R already installed on M3 that can be
accessed through the module system. These R versions are accessible from the
command line as well as through RStudio on the HPC OnDemand Web Portal.
From the command line, current R versions can be seen with module spider R. To
load a specific version of R (e.g. R/4.5.1), you can use module load R/4.5.1.
There are a handful of common R packages already installed system-wide with
these versions, but additional packages can be installed per user with the
traditional install.packages() command. This only needs to be done once per user
per R version.
There are not currently any system-wide installations of R on the SuperPOD. Please see the next section for options.
Other R Versions#
Users who require versions of R or R packages packages that are not currently
installed on SMU HPC systems are encouraged to utilize custom virtual
environments. Virtual environments allow users to use specific versions of R
with the packages of their choice. Additionally, R environments increase
portability, which will help to ensure that R programs that run on SMU HPC
systems can also run on other machines with minimal changes. The primary way to
create virtual environments is using a conda environment. Please see
R Environments for more details.