[Rd] Convenience function to get unevaluated ... function arguments
Bert Gunter
gunter.berton at gene.com
Wed Jul 25 01:39:09 CEST 2012
Folks:
Herein is a suggestion for a little R convenience function mainly to
obtain unevaluated ... function arguments. It arose from a query on
R-help on how to get these arguments. The standard (I think) idiom to
do this is via
match.call(expand.dots=FALSE)$...
However, Bill Dunlap pointed out that this repeats the argument
matching of the function call and suggested a couple of alternatives
that do not, one of which I've adapted as the following function,fun
(I'll comment on naming in a second):
fun <- as.list(substitute((...), env = parent.frame()))[-1]
Typical usage would be:
f <- function(x, ...,y)fun()
e.g.
> f(x = 5,z=sin(a),y=3,stop("oh"),w=warning("Yikes"))
$z
sin(a)
[[2]]
stop("oh")
$w
warning("Yikes")
It turns out that (surprisingly to me) the substitute idiom is faster
than the match.call idiom, although the difference appears
unimportant, since both are so fast. And it is a little slower when
wrapped into a function, anyway -- I wasn't able to figure out a
convenient way to wrap the match.call version into a function.
The question is where -- if anywhere -- should this little one-liner
go? Seems to me that there are 3 possibilities:
1. Nowhere. Unnecessary and trivial. An entirely reasonable response,
imho; I leave it to guRus to make this judgment.
2. In with match.call(); in which case a name like match.dots would
seem appropriate.
3. In with substitute(); in which case something like substituteDots
to make the relationship clear might be appropriate.
If R core or others do want to use this, I would be happy to write the
line or two of additional documentation required (if no one else wants
to).
And to repeat... I know this is trivial, so no explanation or response
is needed if it is decided to ignore it.
Best,
Bert
--
Bert Gunter
Genentech Nonclinical Biostatistics
Internal Contact Info:
Phone: 467-7374
Website:
http://pharmadevelopment.roche.com/index/pdb/pdb-functional-groups/pdb-biostatistics/pdb-ncb-home.htm
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