Installing library in r12/18/2023 Otherwise, move to the next step to install the package. If the package you are trying to use is already installed, simply load the library, e.g., library('units'). You can check if your package is already installed by opening an R terminal and entering the command installed.packages(). Step 1: Check if the package is already installed.Īs part of the R installations on community clusters, a lot of R libraries are pre-installed. If you have created a ~/.Rprofile file previously on Scholar, ignore this step. Link to section 'Installing Packages' of 'Installing R packages' Installing Packagesįollow the steps for setting up your ~/.Rprofile preferences. For your convenience, a sample ~/.Rprofile example file is provided that can be downloaded to your cluster account and renamed into ~/.Rprofile (or appended to one) to customize your installation preferences.You can define the directory where your R packages will be installed using the environment variable R_LIBS_USER.So, libraries for each R version must be installed in a separate directory. Each cluster has multiple versions of R and packages installed with one version of R may not work with another version of R.So, if you have access to multiple clusters, you must install your R packages separately for each cluster. Different clusters have different hardware and softwares.Installing R packages Link to section 'Challenges of Managing R Packages in the Cluster Environment' of 'Installing R packages' Challenges of Managing R Packages in the Cluster Environment
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