Linear Models in R - Part 3

R
RStudio
Linear models
Keeping the examples aligned with changes in R since 2016.
Author

Mauricio “Pachá” Vargas S.

Published

July 13, 2023

A step-by-step explanation of how to fit a linear model. Here we cover GLMs (Generalized Linear Models) but focus on the Poisson link with a large number of fixed effects and work with datasets that we have to download and join to produce a final dataset to explore the effects of distance, contiguity and colonial history on exports.

You can read more about the topics covered in:

  1. Linear Models with R (https://julianfaraway.github.io/faraway/LMR/)
  2. R for Data Science (https://r4ds.had.co.nz/relational-data.html#mutating-joins) for the joins part
  3. Fixest documentation (https://lrberge.github.io/fixest/) to explore more about fepois()

Code: https://github.com/pachadotdev/youtube-codes/tree/main/2023-07-13-linear-models-part-3

If you like this video and want to keep learning, I organize regular 1-hour workshops and 1:1 tutoring https://www.buymeacoffee.com/pacha/