![]() 4.0.2 vs 4.0.0) are compatible with each other. $ R -e 'install.packages("rgdal", repos="")' Using multiple R versions $ R -e 'install.packages("rgdal", repos="")' It cannot be installed or used unless the necessary module is loaded: For example, the fftw R package is a wrapper (interface) to use FFTW (a Fourrier transform library) inside R. The corresponding software module(s) must be loaded both to install and to use such R packages. Yet other R packages act as interfaces for using external tools and libraries inside R. Many R packages depend on libraries or tools that are not specific to R. Just use require(packagename) in your scripts (or interactive sessions) to load it. Once a package has been installed, it will remain in your personal library and does not need to be installed again. ![]() Please select a CRAN mirror for use in this session. To install packages into? (yes/No/cancel) yes Would you like to create a personal library Would you like to use a personal library instead? (yes/No/cancel) yes 'lib = "/cvmfs//easybuild/software/2020/avx/Core/r/4.0.2/lib64/R/library"' is not writable R can be used to run scripts, or interactively:Ĭopyright (C) 2020 The R Foundation for Statistical Computing The Alliance software stack offers R as a module. In this chapter, we discuss how to install R packages on Plato and similar clusters, and deal with software module dependencies. There is no easy way for R developers to indicate which software modules their package requires, and the Alliance staff cannot keep up with all R packages to match software modules with R packages. Installing CRAN packages on clusters can be challenging since they sometimes require libraries that are available as software modules. However, a lot of R’s power comes from the large number of packages developed by its users and available in the Comprehensive R Archive Network (CRAN). ![]() ![]() R comes with a set of standard packages that provide extensive features for mathematics in general and statistics in particular. R was not developed for HPC, but is very popular with scientists from a variety of disciplines, making its use on clusters very common. R is a programming language and environment for statistics and graphics. ![]()
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