When a package is not available by default, users are able to install it for their personal use by using a folder on disk as a personal package library. The versions of R pre-installed on the cluster come with a variety of common packages built in, so when looking for a particular package, we recommend double-checking first whether it is included by default by running e.g. Ggsave(my_plot, filename="myplot.png", type="cairo-png")įor further discussion, please refer to this external guide. It may be useful to set this option globally with options(bitmapType='cairo-png')Īlternatively, to save plots generated by ggplot2 for example use: In order to generate and save graphical outputs, we recommend setting R's graphical device to use cairo-png. Module whois R-bundle-Bioconductor/3.13-foss-2021a-R-4.1.0 GENERATING GRAPHICS and PLOTS WITH R ON THE CLUSTER You can see which libraries are provided by this Bioconductor modules by running (as before): For example R/4.1.0-foss-2021a is compatible with R-bundle-Bioconductor/3.13-foss-2021a-R-4.1.0 meaning that they can be used togther. To ensure compatibility, you should aim to choose a version of R-bundle-Biconductor that has the same toolchain listed in its name as your main R package. You can list available versions by running: A large subset of the modules used by the Bioconductor project, for example, are available via the R-bundle-Bioconductor module. In addition to the libraries included with the main R software, it is possible to load additional modules that provide even more libraries. The included R libraries are listed as extensions. You can see which versions are included by running the command below and checking the list of extensions: The preinstalled versions of R include a number of commonly used R libraries. For example, you can load R/4.1.0-foss-2021a by running: When you have chosen your desired module, you can load it with module load . Available versions can be listed by running: We provide up to date versions of the main R software. Using Rstudio for remote R coding via a web browser.This guide explains how to use them to best effect on the BMRC cluster. R and RStudio are important tools for many researchers.
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