It’s one of the most popular programming languages for statistics; it’s widely taught and used in industry and academia alike; and it has a vibrant user community. It’s Stata! For many researchers, Stata is their native tongue. This talk discusses what happens when you join an analytics organization that runs on Stata and then transition that team to R. It’s about more than just swapping out $\text{egen}$ for $\text{dplyr::mutate}$: using R requires a cultural shift in a team’s attitudes around programming, analysis, quality assurance, and collaboration. We’ll go through the most important and most challenging of these shifts, including places where the culture of Stata can make us better R users.
