Local R Packages
As an R user, you are likely very familiar with the example commands:
or installing packages with Bioconductor. Here are some notes regarding the installation of R packages.
A Note to Prior CentOS 6 MARCC Users
The use of
R_LIBS_USER is deprecated, please rely on MARCC to generate local folders specific to R.
Previously, we recommended the use of setting R_LIBS_USER in your
$HOME/.Renviron file. The reason we don’t recommend it now is package collisions with varying versions of R. Our new R modules will try to create appropriate directories in your home directories in the
R folder. The first path listed in the R command
.libPaths() should offer a local user library location first, then the system library location. We do install some tools in the system library, but we expect users to customize their packages and self-install packages fitting their needs.
Installing R Packages
As a user, you should not need to worry about package management; the modules system should provide a suitable version of R without any extra effort. But, we want to explain how we update folders to prevent collisions by installing R packages.
Currently, we support R/3.4.0 and R/3.5.1 under two compilers, Intel/18.0 and GCC/5.5.0; this means that we are actively supporting at least four combinations of R. There is even less work to do – the modules should try to take care of it for you.
Here’s a sampling of how working with these versions of R works:
# comment: start with the same recommended defaults by MARCC module purge; module load MARCC # comment: take a look you will see at least two R versions module avail # comment: now load R module load R # comment: check R version which R # comment: result shows '/software/apps/R/3.5.1/intel/18.0/bin/R' # comment: now launch R R > .libPaths()  "$HOME/$USER/R/x86_64-pc-linux-gnu-library/3.5/intel/18.0"  "/software/apps/R/3.5.1/intel/18.0/lib64/R/library"
At this point you should see a local home folder called
Now, try this:
module load gcc/5.5.0 # R will reload because R is built there too # comment: check R version which R # comment: result shows '/software/apps/R/3.5.1/gcc/5.5/bin/R' # comment: now launch R R > .libPaths()  "$HOME/$USER/R/x86_64-pc-linux-gnu-library/3.5/gcc/5.5"  "/software/apps/R/3.5.1/gcc/5.5.0/lib64/R/library"
In many cases, R users will prefer the use of GCC compilers to ease installation of packages, if Intel/18.0 does not work, please load R using GCC 5.5.0 and try installing your packages again.