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
