Ten Simple Rules for Teaching an Introduction to R
summary
Ten concrete rules distilled from teaching hundreds of public health professionals and students: use R Markdown and Quarto to teach reproducible workflows, manage course edits with projects and issues on GitHub, prioritize live code and lab time, start with data wrangling, end with a real project (examples include Pokémon, art installations, and public health analyses), commit to tidyverse vs base R for clarity, teach as a team, minimize distractions, and collect anonymous learner feedback frequently.
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