`if_else` `missing` argument does not work when using `%in%` to evaluate. about dplyr HOT 3 CLOSED

The conversion of the NA to FALSE happens with %in%, and is unrelated to dplyr code

x <- c(NA, 1,2,3)

x %in% 2
#> [1] FALSE FALSE  TRUE FALSE

So there is nothing for dplyr to do here. Converting NA to FALSE is just a known side effect of how %in% and match() work.

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If you really want NAs to pass through, you can use vctrs::vec_in() with na_equal = FALSE

vctrs::vec_in(c(NA, 1, 2, 3), 2, na_equal = FALSE)
#> [1]    NA FALSE  TRUE FALSE

But for the most part that is considered "advanced usage"

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Helpful, I did not know that. Thanks.

from dplyr.