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.
A.2.1 Installing R on a Mac via Homebrew.1.5 Why use a programming language for historical data analysis?.
#Rstudio install library how to#
1.4 How to learn computational historical thinking.
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