This will allow you to take advantage of the very latest work from the active community. You can also learn how to set up a Shiny server to convert your R code into interactive web pages.įor more information on how to install R packages by leveraging different tools, you can read about how to install directly from GitHub, BitBucket or other locations. With R successfully installed on your server, you may be interested in this guide on installing the RStudio Server to bring an IDE to the server-based deployment you just completed. which server should you use to download the package. you will be asked to select your local mirror, i.e. You can press n when prompted, unless you want to save the workspace image. We just fire up an R shell and type: > install.packages('ggplot2') In theory the package should just install, however: if you are using Linux and don’t have root access, this command won’t work. To learn more about what’s available, you can find a listing of official packages organized by name via the Available CRAN Packages By Name list. If you are interested to learn more about txtplot, use help(txtplot) from within the R interpreter.Īny precompiled package can be installed from CRAN with install.packages().
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