R

R is a language for statistical computing and graphics. R's use in the data science and marketing analytics community has taken off over recent years and (at a bare minimum) should be considered as an open source replacement to software such as SAS, SPSS and Stata.

Installing R Windows Users

Go to the R homepage for Windows and download the most recent installer (R-4.0.5-win.exe)

To install, double-click the exe you just downloaded and follow the instructions.

Installing R for Mac Users

Go to the R homepage and download the installer (R-4.0.5.pkg).

To install, double-click the pkg and follow the instructions.

Why Not Install via Homebrew?

There is conflicting views on Homebrew's installation of R. Because we haven't tried it & to ensure no problems will emerge, we recommend going with the installation based on the CRAN distributed package.

Installing R for Linux

First, we need to import the signing key:

$ apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9

add a repository so that our operating system knows where to install the most recent version of R from.

Enter the following into the terminal and press Return:

$ add-apt-repository "'deb https://cloud.r-project.org/bin/linux/ubuntu '$(lsb_release -sc)'-cran40/'"

where we use lsb_release -cs to access which Ubuntu flavor you run: one of “groovy”, “focal”, “bionic”, …

Now, update to get the package manifests from the new repository:

$ sudo apt-get update

We can now install R as from the terminal by entering the following:

$ sudo apt-get install r-base r-base-dev

Install the multi-threaded OpenBlas library to get higher performance for linear algebra operations:

$ sudo apt-get install libopenblas-base