Finally getting back to this :
>>>>> Hadley Wickham <h.wick...@gmail.com>
>>>>> on Mon, 15 Aug 2016 07:51:35 -0500 writes:
> On Fri, Aug 12, 2016 at 11:31 AM, Hadley Wickham
> <h.wick...@gmail.com> wrote:
>>> >> One possibility would also be to consider a
>>> "numbers-only" or >> rather "same type"-only {e.g.,
>>> would also work for characters} >> version.
>>>
>>> > I don't know what you mean by these.
>>>
>>> In the mean time, Bob Rudis mentioned dplyr::if_else(),
>>> which is very relevant, thank you Bob!
>>>
>>> As I have found, that actually works in such a "same
>>> type"-only way: It does not try to coerce, but gives an
>>> error when the classes differ, even in this somewhat
>>> debatable case :
>>>
>>> > dplyr::if_else(c(TRUE, FALSE), 2:3, 0+10:11) Error:
>>> `false` has type 'double' not 'integer'
>>> >
>>>
>>> As documented, if_else() is clearly stricter than
>>> ifelse() and e.g., also does no recycling (but of
>>> length() 1).
>>
>> I agree that if_else() is currently too strict - it's
>> particularly annoying if you want to replace some values
>> with a missing:
>>
>> x <- sample(10) if_else(x > 5, NA, x) # Error: `false`
>> has type 'integer' not 'logical'
>>
>> But I would like to make sure that this remains an error:
>>
>> if_else(x > 5, x, "BLAH")
>>
>> Because that seems more likely to be a user error (but
>> reasonable people might certainly believe that it should
>> just work)
>>
>> dplyr is more accommodating in other places (i.e. in
>> bind_rows(), collapse() and the joins) but it's
>> surprisingly hard to get all the details right. For
>> example, what should the result of this call be?
>>
>> if_else(c(TRUE, FALSE), factor(c("a", "b")),
>> factor(c("c", "b"))
>>
>> Strictly speaking I think you could argue it's an error,
>> but that's not very user-friendly. Should it be a factor
>> with the union of the levels? Should it be a character
>> vector + warning? Should the behaviour change if one set
>> of levels is a subset of the other set?
>>
>> There are similar issues for POSIXct (if the time zones
>> are different, which should win?), and difftimes
>> (similarly for units). Ideally you'd like the behaviour
>> to be extensible for new S3 classes, which suggests it
>> should be a generic (and for the most general case, it
>> would need to dispatch on both arguments).
> One possible principle would be to use c() -
> i.e. construct out as
> out <- c(yes[0], no[0]
> length(out) <- max(length(yes), length(no))
yes; this would require that a `length<-` method works for the
class of the result.
Duncan Murdoch mentioned a version of this, in his very
first reply:
ans <- c(yes, no)[seq_along(test)]
ans <- ans[seq_along(test)]
which is less efficient for atomic vectors, but requires
less from the class: it "only" needs `c` and `[` to work
and a mixture of your two proposals would be possible too:
ans <- c(yes[0], no[0])
ans <- ans[seq_along(test)]
which does *not* work for my "mpfr" numbers (CRAN package 'Rmpfr'),
but that's a buglet in the c.mpfr() implementation of my Rmpfr
package... (which has already been fixed in the development version on R-forge,
https://r-forge.r-project.org/R/?group_id=386)
> But of course that wouldn't help with factor responses.
Yes. However, a version of Duncan's suggestion -- of treating 'yes' first
-- does help in that case.
For once, mainly as "feasability experiment",
I have created a github gist to make my current ifelse2() proposal available
for commenting, cloning, pullrequesting, etc:
Consisting of 2 files
- ifelse-def.R : Functions definitions only, basically all the current
proposals, called ifelse*()
- ifelse-checks.R : A simplistic checking function
and examples calling it, notably demonstrating that my
ifelse2() does work with
"Date", <dateTime> (i.e. "POSIXct" and "POSIXlt"), factors,
and "mpfr" (the arbitrary-precision numbers in my package "Rmpfr")
Also if you are not on github, you can quickly get to the ifelse2()
definition :
https://gist.github.com/mmaechler/9cfc3219c4b89649313bfe6853d87894#file-ifelse-def-r-L168
> Also, if you're considering an improved ifelse(), I'd
> strongly urge you to consider adding an `na` argument,
I now did (called it 'NA.').
> so that you can use ifelse() to transform all three
> possible values in a logical vector.
> Hadley
> -- http://hadley.nz
For those who really hate GH (and don't want or cannot easily follow the
above URL), here's my current definition:
##' Martin Maechler, 14. Nov 2016 --- taking into account Duncan M. and Hadley's
##' ideas in the R-devel thread starting at (my mom's 86th birthday):
##' https://stat.ethz.ch/pipermail/r-devel/2016-August/072970.html
ifelse2 <- function (test, yes, no, NA. = NA) {
if(!is.logical(test)) {
if(is.atomic(test))
storage.mode(test) <- "logical"
else ## typically a "class"; storage.mode<-() typically fails
test <- if(isS4(test)) methods::as(test, "logical") else
as.logical(test)
}
## No longer optimize the "if (a) x else y" cases:
## Only "non-good" R users use ifelse(.) instead of if(.) in these cases.
ans <-
tryCatch(rep(if(is.object(yes) && identical(class(yes), class(no)))
## as c(o) or o[0] may not work for the class
yes else c(yes[0], no[0]), length.out = length(test)),
error = function(e) { ## try asymmetric, yes-leaning
r <- yes
r[!test] <- no[!test]
r
})
ok <- !(nas <- is.na(test))
if (any(test[ok]))
ans[test & ok] <- rep(yes, length.out = length(ans))[test & ok]
if (any(!test[ok]))
ans[!test & ok] <- rep(no, length.out = length(ans))[!test & ok]
ans[nas] <- NA. # possibly coerced to class(ans)
ans
}
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