r-developmentlisted

# R Development This skill provides comprehensive guidance for modern R development, emphasizing current best practices with tidyverse, performance optimization, and professional package development. ## Core Principles 1. **Use modern tidyverse patterns** - Prioritize dplyr 1.1+ features, native pipe, and current APIs 2. **Profile before optimizing** - Use profvis and bench to identify real bottlenecks 3. **Write readable code first** - Optimize only when necessary and after profiling 4. **Follow tidyverse style guide** - Consistent naming, spacing, and structure ## Modern Tidyverse Essentials ### Native Pipe (`|>` not `%>%`) Always use native pipe `|>` instead of magrittr `%>%` (R 4.1+): ```r # Modern data |> filter(year >= 2020) |> summarise(mean_value = mean(value)) # Avoid legacy pipe data %>% filter(year >= 2020) ``` ### Join Syntax (dplyr 1.1+) Use `join_by()` for all joins: ```r # Modern join syntax with equality transactions |> inner_join(companies, by = join_by(company == id)) # Inequality joins transactions |> inner_join(companies, join_by(company == id, year >= since)) # Rolling joins (closest match) transactions |> inner_join(companies, join_by(company == id, closest(year >= since))) ``` Control match behavior: ```r # Expect 1:1 matches inner_join(x, y, by = join_by(id), multiple = "error") # Ensure all rows match inner_join(x, y, by = join_by(id), unmatched = "error") ``` ### Per-Operation Grouping with `.by` Use `.by` instead of `gr