R Patterns

When to Activate

• Writing R scripts, packages, or Shiny apps (.R, .Rmd, .qmd)
• Designing data transformation pipelines with tidyverse
• Building R packages with roxygen2 documentation
• Reviewing R code for idiomatic style
• Using tidy evaluation ({{ }}) to write reusable functions that accept column names as arguments
• Managing project dependencies reproducibly with renv and a committed lockfile
• Choosing between purrr::map variants and for loops for iteration over data structures
• Creating publication-ready visualizations with ggplot2 and the scales package

Native Pipe and Tidyverse Pipeline