dplyr: arrange_all – R documentation

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arrange_all

Arrange rows by a selection of variables

Description

Scoped verbs (_if, _at, _all) have been superseded by the use of across() in an existing verb. See vignette("colwise") for details.

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.

Usage

arrange_all(.tbl, .funs = list(), ..., .by_group = FALSE)

arrange_at(.tbl, .vars, .funs = list(), ..., .by_group = FALSE)

arrange_if(.tbl, .predicate, .funs = list(), ..., .by_group = FALSE)

Arguments

`.tbl`	A `tbl` object.
`.funs`	A function `fun`, a quosure style lambda `~ fun(.)` or a list of either form.
`...`	Additional arguments for the function calls in `.funs`. These are evaluated only once, with tidy dots support.
`.by_group`	If `TRUE`, will sort first by grouping variable. Applies to grouped data frames only.
`.vars`	A list of columns generated by `vars()`, a character vector of column names, a numeric vector of column positions, or `NULL`.
`.predicate`	A predicate function to be applied to the columns or a logical vector. The variables for which `.predicate` is or returns `TRUE` are selected. This argument is passed to `rlang::as_function()` and thus supports quosure-style lambda functions and strings representing function names.

Grouping variables

The grouping variables that are part of the selection participate in the sorting of the data frame.

Examples

df <- as_tibble(mtcars)
arrange_all(df)
# ->
arrange(df, across())

arrange_all(df, desc)
# ->
arrange(df, across(everything(), desc))

dplyr

A Grammar of Data Manipulation

v1.0.6

MIT + file LICENSE

Authors

Hadley Wickham [aut, cre] (<https://orcid.org/0000-0003-4757-117X>), Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>), Lionel Henry [aut], Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>), RStudio [cph, fnd]

Initial release