On 2007-May-18 , at 18:21 , Gabor Grothendieck wrote:
> In particular, we can use "[" directly instead of subset. This is the
> same as your function except for the line marked ### :
>
> myfun2 <- function() {
> foo = data.frame(1:10,10:1)
> foos = list(foo)
> fooCollumn=2
> cFoo = lapply(foos, "[", fooCollumn) ###
> return(cFoo)
> }
> myfun2() # test
>
> On 5/18/07, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
>> You need to study carefully what the semantics of 'subset' are. The
>> function body of myfun is not in the evaluation environment. (The
>> issue
>> is 'subset', not 'lapply': select is an *expression* and not a
>> value.)
>>
>> Hint: using subset() programmatically is almost always a mistake.
>> R's
>> subsetting function is '[': subset is a convenience wrapper.
Thank you very much. Indeed it is much better this way. I got used to
subset for data.frames because [ does not work with negative named
arguments while select does. E.g.:
x[,-c("name1","name2")]
does not work while
subset(x,select=-c("name1","name2"))
works (it eliminates columns named name1 and name 2 from x). But I
guess in most cases an other syntax can achieve the same thing with
[, like:
x[,-which(names(x)%in%c("name1","name2"))]
it's just a little less clear.
Thanks again.
JiHO
---
http://jo.irisson.free.fr/
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