c_across() works inside of mutate_rowwise(). It uses tidyselect so
you can easily select multiple variables.
c_across(cols = everything())Columns to transform.
df <- data.table(x = runif(6), y = runif(6), z = runif(6))
df %>%
mutate_rowwise(row_mean = mean(c_across(x:z)))
#> # A tidytable: 6 × 4
#> x y z row_mean
#> <dbl> <dbl> <dbl> <dbl>
#> 1 0.0808 0.498 0.0342 0.204
#> 2 0.834 0.290 0.320 0.481
#> 3 0.601 0.733 0.402 0.579
#> 4 0.157 0.773 0.196 0.375
#> 5 0.00740 0.875 0.404 0.429
#> 6 0.466 0.175 0.0637 0.235