c_across() is designed to work with
rowwise() to make it easy to
perform row-wise aggregations. It has two differences from
It uses tidy select semantics so you can easily select multiple variables.
vignette("rowwise") for more details.
vctrs::vec_c() in order to give safer outputs.
c_across(cols = everything())
across() for a function that returns a tibble.
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)) )
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