📊 10 - Moderation and Heterogeneous Effects
Table of Contents
Today’s session
- Learn how to perform interaction models with
lm() - Learn how to extract marginal/partial effects with
margins::margins()and predictive margins withggeffects::::ggeffect() - Learn how to vectorize multiple ifelse() statements with
dplyr::case_when()
Further references
For R and RMarkdown
      Reminder of the basics: https://tinyurl.com/vkebh2f
      RMarkdown: The definitive guide https://tinyurl.com/y4tyfqmg
      Data wrangling with dplyr: https://tinyurl.com/vyrv596
      dplyr video tutorial: https://www.youtube.com/watch?v=jWjqLW-u3hc
For learning more about DAGs and ggdag:
      An Introduction to DAGs: https://ggdag.netlify.com/articles/intro-to-dags.html
      Introduction to ggdag: https://ggdag.netlify.com/articles/intro-to-ggdag.html
      Bias structures: https://ggdag.netlify.com/articles/bias-structures.html
Helpful cheatsheets
      Data visualization with ggplot: https://rstudio.com/wp-content/uploads/2015/03/ggplot2-cheatsheet.pdf
      Data wrangling with dplyr and tidyr: https://tinyurl.com/s6zxfqh
      RMarkdown cheatsheet: https://tinyurl.com/uqoelrx