rlang-patterns

What problem does it solve?

Functions that use tidy evaluation can be hard to reason about; this Skill provides a clear set of rlang metaprogramming patterns to write safer, more expressive R code.

Core Features & Use Cases

• Data-masking concepts that let expressions refer to data frame columns as variables, including forward arguments using {{ }} and the .data pronoun.
• Injection operators such as !! and !!! to programmatically build and splice expressions for dynamic code generation.
• Dynamic dots patterns and helpers to manage tidy evaluation across data pipelines, with explicit use of .data and .env to avoid collisions.

Quick Start

Example: define a small function that uses {{ var }} to forward an argument into a dplyr call, and access a column with .data[[var]] for explicit safety.