How To Install R on Debian 10

Introduction

R is an open-source programming language, that is widely used for developing statistical software and for performing data analysis and visualization. R offers many user-generated packages for specific areas of study, which makes it applicable to many fields.

Prerequisites

To follow along with this tutorial, you will need a Debian 10 server with:

• at least 1GB of RAM
• a non-root user with sudo privileges

Step 1 - Installing Dependencies

Because R is a fast-moving project, the latest stable version isn’t always available from Debian’s repositories, so we’ll need to add the external repository maintained by CRAN. In order to do this, we’ll need to install some dependencies for the Debian 10 cloud image.

To perform network operations that manage and download certificates, we need to install dirmngr so that we can add the external repository.

sudo apt install dirmngr --install-recommends

To add a PPA reference to Debian, we’ll need to use the add-apt-repository command. For installations where this command may not be available, you can add this utility to your system by installing software-properties-common:

sudo apt install software-properties-common

Finally, to ensure that we have HTTPS support for secure protocols, we’ll install the following tool:

sudo apt install apt-transport-https

With these dependencies in place, we’re ready to install R.

Step 2 - Installing R

For the most recent version of R, we’ll be installing from the CRAN repositories.

Let’s first add the relevant GPG key.

sudo apt-key adv --keyserver keys.gnupg.net --recv-key 'E19F5F87128899B192B1A2C2AD5F960A256A04AF'

Once we have the trusted key, we can add the repository.

sudo add-apt-repository 'deb https://ftp.fau.de/cran/bin/linux/debian buster-cran35/'

Now, we’ll need to run an update after this in order to include package manifests from the new repository.

sudo apt update

Once this completes running and you’re returned to your prompt, we’re ready to install R with the following command.

sudo apt install r-base

If prompted to confirm installation, press y to continue.

As of the time of writing, the latest stable version of R from CRAN is 3.6.1, which is displayed when you start R.

Since we’re planning to install an example package for every user on the system, we’ll start R as root so that the libraries will be available to all users automatically. Alternatively, if you run the R command without sudo, a personal library can be set up for your user.

sudo -i R

This confirms that we’ve successfully installed R and entered its interactive shell.

Step 3 - Installing Add-on Packages from CRAN

Part of R’s strength is its available abundance of add-on packages. For demonstration purposes, we’ll install txtplot, a library that outputs ASCII graphs that include scatterplot, line plot, density plot, acf and bar charts:

install.packages('txtplot')

When the installation is complete, we can load txtplot:

library('txtplot')

If there are no error messages, the library has successfully loaded. Let’s put it in action now with an example which demonstrates a basic plotting function with axis labels. The example data, supplied by R's datasets package, contains the speed of cars and the distance required to stop based on data from the 1920s:

txtplot(cars[,1], cars[,2], xlab = 'speed', ylab = 'distance')

If you are interested to learn more about txtplot, use help(txtplot) from within the R interpreter.

Any precompiled package can be installed from CRAN with install.packages(). 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 exit R, you can type q(). Unless you want to save the workspace image, you can press n.

Conclusion

By following this tutorial you have successfully installed the programming language R on your server, and know how to install additional add-ons.

License: MIT