dplyr's pick() function lets you select columns *within select(), count(), or mutate() activities *. For ex.
df %>% mutate(rank = dense_rank(pick(x, y)))
OR
df %>% count(pick(starts_with("z")))
dplyr.tidyverse.orgSelect a subset of columns — pickpick() provides a way to easily select a subset of columns from your data
using select() semantics while inside a
"data-masking" function like mutate() or
summarise(). pick() returns a data frame containing the selected columns
for the current group.
pick() is complementary to across():
With pick(), you typically apply a function to the full data frame.
With across(), you typically apply a function to each column.
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