dplyr (version 1.0.10)

c_across: 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 = everything())

Arguments

cols

<tidy-select> Columns to transform. Because across() is used within functions like summarise() and mutate(), you can't select or compute upon grouping variables.

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))
 )