R-for-Stata-friends

Informal R Course for Friends Who Know Stata (FWKS)

Topics to cover

Basics

1. RStudio
2. tidyverse
3. Arranging data with dplyr
4. Janitor for cleaning dirty data

Reproducible research

1. Rstudio Project Files link 2
2. Automating github connections with usethis
3. RMarkdown for making dynamic documents
4. Drake package

Descriptive statistics

1. stargazer
2. tableone
3. Plotting data with ggplot
4. Summary tables with gtsummary
5. Grouping data with group_by and summarize

Modeling

1. linear models with lm
2. Fixed Effects Linear Regressions

• lfe package
• fixest package

1. hierarhical models with lmer
2. broom for collecting coefficients

D-in-D and Synthetic Control

1. diff-in-diff w/ did package
2. synth control with synthdid
3. Panel Match

Experiments

1. Declare Design for experimental setup
2. Power analysis

Machine learning

1. Feature Engineering
2. caret
3. xgboost with treesnip
4. tidymodels
5. Tidy Modeling with R

Fun stuff

1. Rayshader
2. Dashboards with R Shiny
3. Analyzing spatial data with sf
4. Pirate plots
5. BRRR!
6. Tidytext for text mining
7. Functional programming with purrr

References

• Chris Hanretty's 2 day course on R for Stata
• Paul GP
• R for Data Science
• R for Everyone
• Analytics for Industry