Out of interest, I asked chatGPT to take the original code, convert it to
tidyverse style, use the base pipe, and collapse to a single mutate
(interestingly I didn't need to explicitly ask to use across() and
case_when), and I got code pretty similar to yours:
df3 <- df0 |>
mutate(
across(st
Às 08:27 de 18/10/2024, Rui Barradas escreveu:
Às 22:50 de 17/10/2024, Sparks, John escreveu:
Hi R Helpers,
I have been looking for an example of how to execute different dplyr
mutate statements on the same dataframe in a single step. I show how
to do what I want to do by going from df0 to d
Às 22:50 de 17/10/2024, Sparks, John escreveu:
Hi R Helpers,
I have been looking for an example of how to execute different dplyr mutate
statements on the same dataframe in a single step. I show how to do what I
want to do by going from df0 to df1 to df2 to df3 by applying a mutate
statement
Why can't you do:
df0 |> mutate( ... ) |>
mutate( ... ) |>
mutate( ... )
I've simplified the code to show passing the result of the first line to
the next rather than focussing on the detail. This would work with %>% as
well as |> but I am anticipating that the more modern native pipe ( |> )
Hi R Helpers,
I have been looking for an example of how to execute different dplyr mutate
statements on the same dataframe in a single step. I show how to do what I
want to do by going from df0 to df1 to df2 to df3 by applying a mutate
statement to each dataframe in sequence, but I would like
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