问题
I would like to use a switch statement within dplyr's mutate. I have a simple function that performs some operations and assigns alternative values via switch, for example:
convert_am <- function(x) {
x <- as.character(x)
switch(x,
"0" = FALSE,
"1" = TRUE,
NA)
}
This works as desired when applied to scalars:
>> convert_am(1)
[1] TRUE
>> convert_am(2)
[1] NA
>> convert_am(0)
[1] FALSE
I would like to arrive at equivalent results via mutate
call:
mtcars %>% mutate(am = convert_am(am))
This fails:
Error in
mutate_impl(.data, dots)
: Evaluation error: EXPR must be a length 1 vector.
I understand that this is because values passed to switch ar not single, as in example:
convert_am(c(1,2,2))
Error inswitch(x, 0 = FALSE, 1 = TRUE, NA)
: EXPR must be a length 1 vector
Vectorization
Attempt to vectorize also yield the desired results:
convert_am <- function(x) {
x <- as.character(x)
fun_switch <- function(x) {
switch(x,
"0" = FALSE,
"1" = TRUE,
NA)
}
vf <- Vectorize(fun_switch, "x")
}
>> mtcars %>% mutate(am = convert_am(am))
Error in mutate_impl(.data, dots) :
Column `am` is of unsupported type function
Notes
- I'm aware of
case_when
in dplyr and I'm not interested in using it, I'm only interested in makingswitch
work inside mutate - Ideal solution would allow for further expansion to use
mutate_at
with variables passed as.
回答1:
switch
is not vectorized so for efficiency you need to use ifelse
or case_when
- but as your question is specifically about switch
, you can achieve what you want by vectorizing, e.g.
convert_am <- Vectorize(function(x) {
x <- as.character(x)
switch(x,
"0" = FALSE,
"1" = TRUE,
NA)
})
or
convert_am <- function(x) {
x <- as.character(x)
sapply(x, function(xx) switch(xx,
"0" = FALSE,
"1" = TRUE,
NA))
}
They are both inefficient as they involve a loop under the hood.
来源:https://stackoverflow.com/questions/46814076/using-switch-statement-within-dplyrs-mutate