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Implementing this would mean that every column in df would have to be the same type (because the 1 replace value would be applied to every column), which seems extremely unlikely for the typical analysis.
It would also make code harder to read. i.e. is replace_na(x, 1) replacing values in a vector x or a data frame x?
Created on 2022-04-13 by the reprex package (v2.0.1)
This would make it consistent with
pivot_wider(values_fill)
and friends.The text was updated successfully, but these errors were encountered: