metaprogramming-rlang

What problem does it solve?

This skill enables developers to implement tidy evaluation and data-masking techniques in R using rlang, empowering reusable APIs that adapt to runtime column selections.

Core Features & Use Cases

• embraces data-masking with {{}} to forward function arguments
• demonstrates injection (!! and !!!), dynamic dots, and .data/.env pronouns for safe programmatic code
• use case: wrap a generic summarise() or mutate() to operate on arbitrary columns without hard-coding names

Quick Start

Create a function that takes a data frame and a column name and returns a summary using programmatic tidy-eval patterns.