Welcome!

This website covers the R implementation of some of the concepts discussed in class. We automatically generate multiple versions of the content for your convenience. However, only the RevealJS slides are presented in class and are therefore checked for rendering issues.

1. Introduction to R
2. Modeling
   1. Causal Pitchfork
3. Visualization

Getting started with R

1. Download the R console
2. Download an editor:
   1. Recommended: R Studio Desktop
   2. VS Code + R Extension
   3. JupyterLab or JupyterLab Desktop (see below)

Optional

If you are already familiar with Jupyter you can install a kernel for R. Open R in a terminal (do not use the R.app in MacOS) and run the following:

install.packages("IRkernel")
IRkernel::installspec()

Now you can open the downloaded .ipynb file and execute it.