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across()
Select a subset of columns from within functions like mutate(), summarize(), or filter().
mutate()
summarize()
filter()
pick(...)
Columns to select. Tidyselect compatible.
df <- tidytable( x = 1:3, y = 4:6, z = c("a", "a", "b") ) df %>% mutate(row_sum = rowSums(pick(x, y)))
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