Episode Details

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