I found this tip in a stackoverflow answer. R = getOption("repos") # hard code the UK repo for CRAN To set the repository and avoid having to specify this at every package install, simply: This means that whenever you start R, the directory /data/Rpackages/ is added to the list of places to look for R packages and so:Įvery time you install a R package, you are asked which repository R should use. Renviron in our home area, and add the line R_LIBS=/data/Rpackages/ to it. It’s a bit of a pain having to type /data/Rpackages/ all the time. > library(ggplot2, lib.loc="/data/Rpackages/") > install.packages("ggplot2", lib="/data/Rpackages/") pyinstall () has a pip argument that you can set to TRUE which should use pip to install your module: pyinstall ('lasio',pipTRUE) Alternatively, you can use system2 () to pass calls directly into the terminal. On my machine, I use the directory /data/Rpackages/ After creating a package directory, to install a package we use the command: which server should you use to download the package.įirst, you need to designate a directory where you will store the downloaded packages. ![]() you will be asked to select your local mirror, i.e.if you are using Linux and don’t have root access, this command won’t work.In theory the package should just install, however: Let’s suppose you want to install the ggplot2 package. ![]() This is a short post giving steps on how to actually install R packages. The easiest thing for you to do is to install this package directly from Github using devtools: library ('devtools') installgithub ('hadley/rvest') If you decide to install it locally, you need to unzip the package directory, build it from the command line using R CMD build rvest and then install either using R CMD INSTALL or from within R. Example of installing ROCR package is shown below. ![]() In the last few years, the number of packages has grown exponentially! To install any package on RStudio Server, you need to use install.packages(PackageName) command in R. Part of the reason R has become so popular is the vast array of packages available at the cran and bioconductor repositories.
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