Therefore it is best to add a CRAN-maintained Ubuntu repository to the list of software sources that apt checks, then install R.įirst, run this command (and all following commands) in the Ubuntu terminal. A version of R is available in the Ubuntu repositories, but it it almost certainly not the most recent versions, especially in LTS versions of Ubuntu.

Software on Ubuntu is generally installed via the apt package manager. These instructions give you the commands for installing R on either the server or desktop version of Ubuntu 18.04.x, the latest long-term support (LTS) version of a popular Linux distribution. But you can also install R on a Linux server, or run R on a Linux virtual machine hosted on a different operating system. Of course, if your primary computer runs a Linux distribution, then you can use R on it like you would on Mac or Windows. That option will pick a server which is geographically close to you.īeing able to install R on a Linux system is useful in several ways.

Unless you have a compelling reason to pick a different one, you should select the first option, “Cloud”. When installing packages at the start of an R session, R will ask you which mirror you want to use. The R Project maintains a current list of mirrors. The canonical URL for CRAN is, but you can also access a CRAN mirror at Indiana University, for example, at. This does not mean that there are no bugs in published R packages, but it does mean that the quality of software published at CRAN is generally pretty high.ĬRAN is a collection of mirrors, that is, servers that contain the exact same content. R and the published packages are available at CRAN, the “Comprehensive R Archive Network.” The CRAN maintainers rigorously screen new packages, then test all accepted packages continually. Much of the ease of installing R its add-on packages is thanks to the CRAN infrastructure. In addition, installing packages in R can be considerably simpler than in other languages. Both R the language and the thousands of published packages which extend its functionality for the most part work across the three platforms. R has very good support on the three main platforms: Linux, MacOS, and Windows. C.6.1 Iteration with functional programming.A.2.1 Installing R on a Mac via Homebrew.1.5 Why use a programming language for historical data analysis?.1.4 How to learn computational historical thinking.

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