c_across: Combine values from multiple columns

In dplyr: A Grammar of Data Manipulation

Combine values from multiple columns

Description

c_across() is designed to work with rowwise() to make it easy to perform row-wise aggregations. It has two differences from c():

• It uses tidy select semantics so you can easily select multiple variables. See vignette("rowwise") for more details.

• It uses vctrs::vec_c() in order to give safer outputs.

Usage

c_across(cols)

Arguments

cols	<tidy-select> Columns to transform. You can't select grouping columns because they are already automatically handled by the verb (i.e. summarise() or mutate()).

See Also

across() for a function that returns a tibble.

Examples

df <- tibble(id = 1:4, w = runif(4), x = runif(4), y = runif(4), z = runif(4))
df %>%
  rowwise() %>%
  mutate(
    sum = sum(c_across(w:z)),
    sd = sd(c_across(w:z))
  )

dplyr documentation built on Nov. 17, 2023, 5:08 p.m.