![]() ![]() In this tutorial, we install the version 3.6.1. Sometimes some packages are not available for the latest release, so we may need to install a previous one. We will see this into details later, but just remember that this is particularly important if we are working with R extensions, called packages. In the figures, you can see the case of a Mac.įrom this page, we can also download older versions of R. However, for the end of this course, we will just choose the right installer for our OS (operative system) and proceed with the installation. R is open-source, thus not only we can download the installers but we can also download the source code, modify it and compile it. For example, we can select the Università di Padova server and download the package for our platform. ![]() We can retrieve the R releases in the cran site, where we can select the closest server to proceed with the download. We are going to install the latest version, released the. In our case, we will follow divide the installation of R in two steps: ![]() R is open-source software that is freely available for the most common platforms, like Windows, Mac e several Linux distributions.įor example, we can find countless tutorials on how to install R on our platform and a simple Google query returns millions of pages. Moreover, there are thousands of blogs, forums and discussion platforms where users can find answers to the most common questions. For this reason, there are many web pages devoted to explaining how to install and use it. R is a versatile programming language that is particularly widespread between statistician community. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS. R is a free software environment for statistical computing and graphics. ![]()
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