R: Evaluate a selection with tidyselect semantics specific to...

recipes_eval_select {recipes}

R Documentation

Evaluate a selection with tidyselect semantics specific to recipes

Description

recipes_eval_select() is a recipes specific variant of tidyselect::eval_select() enhanced with the ability to recognize recipes selectors, such as all_numeric_predictors(). See selections for more information about the unique recipes selectors.

This is a developer tool that is only useful for creating new recipes steps.

Usage

recipes_eval_select(
  quos,
  data,
  info,
  ...,
  allow_rename = FALSE,
  check_case_weights = TRUE,
  call = caller_env()
)

Arguments

`quos`	A list of quosures describing the selection. This is generally the `...` argument of your step function, captured with `rlang::enquos()` and stored in the step object as the `terms` element.
`data`	A data frame to use as the context to evaluate the selection in. This is generally the `training` data passed to the `prep()` method of your step.
`info`	A data frame of term information describing each column's type and role for use with the recipes selectors. This is generally the `info` data passed to the `prep()` method of your step.
`...`	These dots are for future extensions and must be empty.
`allow_rename`	Should the renaming syntax `c(foo = bar)` be allowed? This is rarely required, and is currently only used by `step_select()`. It is unlikely that your step will need renaming capabilities.
`check_case_weights`	Should selecting case weights throw an error? Defaults to `TRUE`. This is rarely changed and only needed in `juice()`, `bake.recipe()`, `update_role()`, and `add_role()`.
`call`	The execution environment of a currently running function, e.g. `caller_env()`. The function will be mentioned in error messages as the source of the error. See the call argument of `rlang::abort()` for more information.

Value

A named character vector containing the evaluated selection. The names are always the same as the values, except when allow_rename = TRUE, in which case the names reflect the new names chosen by the user.

Examples


library(rlang)
data(scat, package = "modeldata")

rec <- recipe(Species ~ ., data = scat)

info <- summary(rec)
info

quos <- quos(all_numeric_predictors(), where(is.factor))

recipes_eval_select(quos, scat, info)