tidytable (version 0.5.4)

mutate_if.: Deprecated mutate helpers

Description

These helpers have been deprecated. Please use mutate_across.()

Usage

mutate_if.(.df, .predicate, .funs, ..., .by = NULL, by = NULL)
mutate_at.(.df, .vars, .funs, ..., .by = NULL, by = NULL)
mutate_all.(.df, .funs, ..., .by = NULL, by = NULL)
dt_mutate_if(.df, .predicate, .funs, ..., .by = NULL, by = NULL)
dt_mutate_at(.df, .vars, .funs, ..., .by = NULL, by = NULL)
dt_mutate_all(.df, .funs, ..., .by = NULL, by = NULL)

Arguments

.df

A data.frame or data.table

.predicate

predicate for mutate_if.() to use

.funs

Functions to pass. Can pass a list of functions.

...

Other arguments for the passed function

.by

Columns to group by

by

This argument has been renamed to .by and is deprecated

.vars

vector c() of bare column names for mutate_at.() to use

Examples

# NOT RUN {
test_df <- data.table(
  x = c(1,1,1),
  y = c(2,2,2),
  z = c("a", "a", "b"))

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

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

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

test_df %>%
  mutate_across.(c(x, y), list(new = ~ .x * 2,
                               another = ~ .x + 7))
# }