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. You can press n when prompted, unless you want to save the workspace image. Linux: Install a compiler and various development libraries (details vary across differnet flavors of Linux). Mac: Install Xcode from the Mac App Store. Make sure you have a working development environment. 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. To install it: Install the release version of devtools from CRAN with install.packages('devtools'). 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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