f_arrange: A 'collapse' version of 'dplyr::arrange()'
In fastplyr: Fast Alternatives to 'tidyverse' Functions

f_arrange

R Documentation

A `collapse` version of `dplyr::arrange()`

This is a fast and near-identical alternative to dplyr::arrange() using the collapse package.

desc() is like dplyr::desc() but works faster when called directly on vectors.

f_arrange(
  .data,
  ...,
  .by = NULL,
  .by_group = FALSE,
  .cols = NULL,
  .descending = FALSE,
  .in_place = FALSE
)

`.data`	A data frame.
`...`	Variables to arrange by.
`.by`	(Optional). A selection of columns to group by for this operation. Columns are specified using `tidyselect`.
`.by_group`	If `TRUE` the sorting will be first done by the group variables.
`.cols`	(Optional) alternative to `...` that accepts a named character vector or numeric vector. If speed is an expensive resource, it is recommended to use this.
`.descending`	`⁠[logical(1)]⁠` data frame be arranged in descending order? Default is `FALSE`. In simple cases this can be easily achieved through `desc()` but for a mixture of ascending and descending variables, it's easier to use the `.descending` arg to reverse the order.
`.in_place`	Should data be sorted in-place? This can be very efficient for large data frames and can be safely used when overwriting a freshly allocated data frame. If you're unsure whether the data frame is a freshly allocated object, use `cheapr::semi_copy()` before sorting. Please note that no new vectors and no copies are created, data is directly sorted in-memory. This only works on data frames consisting of atomic vectors.