dplyr (version 1.0.10)

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Scoped verbs (_if, _at, _all) have been superseded by the use of across() in an existing verb.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))