Installing R packages in RStudio Server in the FASSE cluster For multi-node jobs, the recommended app is RStudio Desktop. However, it is not suitable for multi-node jobs. This app is useful for most applications, including multi-core jobs. For the RStudio with environment module and Slurm support, go to our Open OnDemand page select Interactive Apps > Remote Desktop and refer to Open OnDemand Remote Desktop: How to open software.sbatch) are not accessible from this app. This app contains many pre-compiled packages from bioconductor and rocker/tidyverse.User-installed R libraries will be installed in ~/R/ifxrstudio/\.For more information on Singularity, refer to our Singularity on the cluster docs. This simplicity was possible because RStudio Server runs inside a Singularity container, meaning that it does not use the host operating system (OS). Most times, it will be sufficient to simply: > install.packages("package_name") This means that installing R packages in RStudio Server is pretty straightforward. RStudio Server is our go-to RStudio app because it contains a wide range of precompiled R packages from bioconductor and rocker/tidyverse. In this doc, we attempt to explain the major difference between the two. RStudio Desktop through the OOD app “Remote Desktop” then launching RStudio Desktop.RStudio Server through the OOD app “RStudio Server”.RStudio Server.įASRC implemented two different Open OnDemand (OOD, also called VDI) applications for RStudio: Disclaimer: The differences presented here are applicable to RStudio in the FASRC Open OnDemand environment and not for the general RStudio Desktop vs.
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