dgreiss commented on issue #33149: URL: https://github.com/apache/arrow/issues/33149#issuecomment-1642882368
@thisisnic @paleolimbot thanks for the feedback. I was building on this issue #32656 which looks to bring Arrow closer to feature parity with dplyr functions. The dplyr docs have a few examples of when a user might want to use [rowwise](https://dplyr.tidyverse.org/reference/rowwise.html). ```r df <- tibble(x = runif(6), y = runif(6), z = runif(6)) # Compute the mean of x, y, z in each row df %>% rowwise() %>% mutate(m = mean(c(x, y, z))) # use c_across() to more easily select many variables df %>% rowwise() %>% mutate(m = mean(c_across(x:z))) # Compute the minimum of x and y in each row df %>% rowwise() %>% mutate(m = min(c(x, y, z))) ``` Notably, `dbplyr` also doesn't implement [rowwise()](https://dplyr.tidyverse.org/reference/rowwise.html). -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
