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Combine values from multiple columns

Source: R/across.R
c_across.Rd

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))
  )
#> # A tibble: 4 × 7
#> # Rowwise: 
#>      id     w     x     y     z   sum    sd
#>   <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1     1 0.790 0.588 0.142 0.225  1.74 0.305
#> 2     2 0.892 0.514 0.781 0.207  2.39 0.305
#> 3     3 0.327 0.317 0.456 0.659  1.76 0.159
#> 4     4 0.351 0.408 0.234 0.715  1.71 0.205