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#' Apply a function across a selection of columns
#'
#' @description
#' Apply a function across a selection of columns. For use in `arrange()`,
#' `mutate()`, and `summarize()`.
#'
#' @param .cols vector `c()` of unquoted column names. `tidyselect` compatible.
#' @param .fns Function to apply. Can be a purrr-style lambda.
#' Can pass also list of functions.
#' @param ... Other arguments for the passed function
#' @param .names A glue specification that helps with renaming output columns.
#' `{.col}` stands for the selected column, and `{.fn}` stands for the name of the function being applied.
#' The default (`NULL`) is equivalent to `"{.col}"` for a single function case and `"{.col}_{.fn}"`
#' when a list is used for `.fns`.
#'
#' @export
#'
#' @examples
#' df <- data.table(
#' x = rep(1, 3),
#' y = rep(2, 3),
#' z = c("a", "a", "b")
#' )
#'
#' df %>%
#' mutate(across(c(x, y), ~ .x * 2))
#'
#' df %>%
#' summarize(across(where(is.numeric), ~ mean(.x)),
#' .by = z)
#'
#' df %>%
#' arrange(across(c(y, z)))
across <- function(.cols = everything(), .fns = NULL, ..., .names = NULL) {
abort("`across()` can only work inside of tidytable verbs")
}
#' @export
#' @keywords internal
#' @inherit across
across. <- across
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