metaprogramming-rlang

What problem does it solve?

This Skill helps you write more robust and flexible R functions by mastering tidy evaluation and programmatic patterns within the Tidyverse, especially when dealing with column names and data masking.

Core Features & Use Cases

• Tidy Evaluation: Understand and implement data-masking, embracing {{}}, and injection operators (!!, !!!).
• Programmatic APIs: Build functions that accept column names or expressions as arguments.
• Use Case: You're developing a custom R function for data analysis that needs to accept a column name as an argument and then calculate its mean. This Skill will guide you on how to use rlang to handle that column name programmatically and safely within a dplyr verb.

Quick Start

Use the metaprogramming-rlang skill to learn how to forward function arguments to data-masking functions using the embrace operator.