Here’s how most of my teaching prep days went last semester: “I know I’ve read papers using propensity score matching, but I have no idea which ones,” or “surely people have put histograms in published papers,” or “can I find an example of how authors describe calipers when they’re doing matching?
This is Part 1 of a two part series. Stay tuned for Part 2, which will cover numpy, pandas and scikit-learn.
R is an extremely powerful language for data analysis, and probably the best language for working with tabular data, running regressions, and making visualizations.