tidy-evaluation

What problem does it solve?

This skill helps R programmers use tidyverse data-masked functions (dplyr, ggplot2, tidyr) without losing reference to data columns, enabling seamless column passing through functions.

Core Features & Use Cases

• Forward arguments with {{ }} and across() patterns to data-masked contexts.
• Bridge data-masked functions to tidy-select workflows using across(all_of(...)) or similar patterns.
• Use .data and .env pronouns to disambiguate variables and avoid collisions; supports dynamic column lists and iterative workflows.

Quick Start

Define a small helper to compute the mean of a masked column: my_mean <- function(data, var) { data |> dplyr::summarise(mean = mean({{ var }})) } mtcars |> my_mean(cyl)