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We have also installed many popular add-on packages in all the R versions (e.g. tidyverse, ggplot2, DESeq2); however be aware that not all packages are available in all R versions.

Other R versions

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. Use the RStudio Server web application for R 3.6- or R 4.0.1-compatible workflows. 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. 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). The main drawback to this workflow is that typical personal computers do not have as much RAM as POD compute servers, and some R tasks can be memory intensive. What users can do in such cases is test the code in RStudio on their desktop computer, using smaller data sets if necessary. Then run the "full" workflow from the POD compute server command line using the appropriate R version (you can locally install newer R versions yourself).

Understanding R add-on packages

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