arrange_all: Arrange rows by a selection of variables

In javifar/TIDYVERSE-DPLYR: A Grammar of Data Manipulation

Description

\Sexpr[results=rd, stage=render]{lifecycle::badge("superseded")}

Scoped verbs (_if, _at, _all) have been superseded by the use of across() in an existing verb.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

javifar/TIDYVERSE-DPLYR documentation built on Dec. 20, 2021, 9:08 p.m.