R/colwise-arrange.R

#' Arrange rows by a selection of variables
#'
#' These [scoped] variants of [arrange()] sort a data frame by a
#' selection of variables. Like [arrange()], you can modify the
#' variables before ordering with the `.funs` argument.
#'
#' @inheritParams scoped
#' @inheritParams arrange
#'
#' @section Grouping variables:
#'
#' The grouping variables that are part of the selection participate
#' in the sorting of the data frame.
#'
#' @export
#' @examples
#' df <- as_tibble(mtcars)
#' df
#' arrange_all(df)
#'
#' # You can supply a function that will be applied before taking the
#' # ordering of the variables. The variables of the sorted tibble
#' # keep their original values.
#' arrange_all(df, desc)
#' arrange_all(df, list(~desc(.)))
arrange_all <- function(.tbl, .funs = list(), ..., .by_group = FALSE) {
  funs <- manip_all(.tbl, .funs, enquo(.funs), caller_env(), .include_group_vars = TRUE, ...)
  if (!length(funs)) {
    funs <- syms(tbl_vars(.tbl))
  }
  arrange(.tbl, !!!funs, .by_group = .by_group)
}
#' @rdname arrange_all
#' @export
arrange_at <- function(.tbl, .vars, .funs = list(), ..., .by_group = FALSE) {
  funs <- manip_at(.tbl, .vars, .funs, enquo(.funs), caller_env(), .include_group_vars = TRUE, ...)
  if (!length(funs)) {
    funs <- tbl_at_syms(.tbl, .vars, .include_group_vars = TRUE)
  }
  arrange(.tbl, !!!funs, .by_group = .by_group)
}
#' @rdname arrange_all
#' @export
arrange_if <- function(.tbl, .predicate, .funs = list(), ..., .by_group = FALSE) {
  funs <- manip_if(.tbl, .predicate, .funs, enquo(.funs), caller_env(), .include_group_vars = TRUE, ...)
  if (!length(funs)) {
    funs <- tbl_if_syms(.tbl, .predicate, .include_group_vars = TRUE)
  }
  arrange(.tbl, !!!funs, .by_group = .by_group)
}

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dplyr documentation built on July 4, 2019, 5:08 p.m.