mutate_across.: Mutate multiple columns simultaneously

In tidytable: Tidy Interface to 'data.table'

Mutate multiple columns simultaneously

Description

Deprecated

Mutate multiple columns simultaneously.

Usage

mutate_across.(
  .df,
  .cols = everything(),
  .fns = NULL,
  ...,
  .by = NULL,
  .names = NULL
)

Arguments

.df	A data.frame or data.table
.cols	vector c() of unquoted column names. tidyselect compatible.
.fns	Functions to pass. Can pass a list of functions.
...	Other arguments for the passed function
.by	Columns to group by
.names	A glue specification that helps with renaming output columns. {.col} stands for the selected column, and {.fn} stands for the name of the function being applied. The default (NULL) is equivalent to "{.col}" for a single function case and "{.col}_{.fn}" when a list is used for .fns.

Examples

## Not run: 
df <- data.table(
  x = rep(1, 3),
  y = rep(2, 3),
  z = c("a", "a", "b")
)

df %>%
  mutate_across.(where(is.numeric), as.character)

df %>%
  mutate_across.(c(x, y), ~ .x * 2)

df %>%
  mutate_across.(everything(), as.character)

df %>%
  mutate_across.(c(x, y), list(new = ~ .x * 2,
                               another = ~ .x + 7))
df %>%
  mutate_across.(
    .cols = c(x, y),
    .fns = list(new = ~ .x * 2, another = ~ .x + 7),
    .names = "{.col}_test_{.fn}"
  )

## End(Not run)

tidytable documentation built on Oct. 5, 2023, 5:07 p.m.