Then users can access files on shared storage by mounting their Work area file system via Samba (see Samba remote file system access for more information). For workflows requiring other R versions, users can install a different version of R on their own desktop/laptop computers along with the RStudio desktop application. Use the RStudio Server web application for R 3.6- or R 4.0.1-compatible workflows. If you need a GUI environment to access versions of R other than 3.6 or 4.0.3, an option that provides maximum per-user flexibility is as follows.
tidyverse, ggplot2, DESeq2) however be aware that not all packages are available in all R versions. We have also installed many popular add-on packages in all the R versions (e.g. Most POD compute servers use R 3.6 as the R version in their RStudio Server web application but some use R 4.0.3 – see RStudio Server and Python JupyterHub web applications for details. However multiple R versions are not available in RStudio Server because its R version setting can only be set to one value system-wide and cannot be specified per-user. We also have other versions of R installed "side by side" – R-4.0.3 (and others in the future)– which can be accessed by typing the specific version from the command line (e.g.
(To see what OS version your compute server is running, type lsb_release -a on the command line.)
The "default" system version of R on Ubuntu 18.04 compute servers is R 3.6.1, and the default for Ubuntu 20.04 is R 3.6.3 – this is the version that is invoked if you type R from the command line. This section describes the versioning issues in both the system R and in the RStudio Server web application. The issue of R versions is a difficult one, especially now that many important single-cell packages are only available in newer R versions, but not all older, but still popular R packages are.
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