R section of the course aimed to introduce you the R Programming and share the resources that you can study in the future. R section will be relatively small compared to Matlab and Python sections. It is because that R programming is more efficient for statistical analysis. However, most of you are not familiar with the econometrics techniques.

First of all check out RStudio installation for Anaconda.

If you would like to study from textbooks you can use Emmanuel Paradis’ R for Beginners online-free textbook.

However, interactive courses are available for both Python and R to study. It is easier to motivate yourself through those courses. Checkout:

Some of the courses demand fee for certificates but you can audit the courses.

The first-listed course is, I think, is the most efficient for an introduction course.

You can download R and RStudio separately from Anaconda. Note that you must first download and install R, and then RStudio.