Issue 2022-W17 Highlights

Lessons from teaching R to non-programmers, loading a large and messy CSV file with data.table and command-line tools, Bayesian analyses with the brms package, and getting a better understanding of the tidyeval framework.

Episode Links

This week's curator: Jonathan Carroll (@carroll_jono)
6 Lessons I learned from teaching R to non-programmers
Loading a large, messy csv using data.table fread with cli tools
Bayesian analyses made easy: GLMMs in R package brms
Not so standard evaluations - Getting a better understanding of the tidyeval framework
Entire issue available at rweekly.org/2022-W17

Supplement Resources

Data science at the command line
Learning Bayesian statistics podcast
Bayes Rules! An Introduction to Applied Bayesian Modeling