rlang-patterns

Forward data-masking arguments in R functions that wrap dplyr by using the `{{ }}` operator. This ensures function arguments behave like native tidyverse expressions, correctly passing column names and expressions without ambiguity.

In tidy evaluation, the `!!` operator injects a single expression or value, while `!!!` splices multiple arguments from a list. Use `!!!` for programmatic `group_by` or `summarise` inputs when forwarding multiple dynamic arguments.

Prevent name collisions between data columns and environment variables by using `.data` and `.env` pronouns. These explicitly disambiguate variables inside loops and reusable APIs, ensuring tidyverse functions resolve names from the correct scope.

Yes, you can use dynamic dots to build flexible R functions by collecting `...` with `list2(...)`. This allows forwarding expressions via dynamic dots, enabling programmatic selection and splicing of arguments in dplyr and tidyr wrappers.

Tidy-eval metaprogramming code fails when generating selections programmatically if injection operators are misused. Apply `!!!` for splicing lists of columns and `{{ }}` for forwarding single arguments to satisfy tidy evaluation semantics and prevent ambiguity.

Yes, writing custom dplyr wrappers that summarize arbitrary columns at runtime requires rlang patterns. Combine `{{ }}` forwarding, `.data` pronouns, and `!!!` splicing to handle dynamic inputs and generate predictable output column names safely.