This will work as well:
d<-data.frame(d1 = letters[1:3],
d2 = c(1,2,3),
d3 = c(NA_character_,NA_character_,6))
apply(d, 2, FUN=function(x)all(x[!is.na(x)] <= 3))
d1 d2 d3
FALSE TRUE FALSE
i.e. when NA changed do NA_character_
pt., 8 paź 2021 o 20:44 D
This is interesting and does seem suboptimal. Especially because if I start
with a matrix from the beginning, it behaves as expected.
> d<-data.frame(d1 = letters[1:3],
+ d2 = c("1","2","3"),
+ d3 = c(NA,NA,"6"))
>
> str(d)
'data.frame': 3 obs. of 3 variables:
$ d
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