[Rd] get ...
Luke Tierney
luke at stat.uiowa.edu
Wed Jul 2 16:57:18 CEST 2008
On Tue, 1 Jul 2008, Duncan Murdoch wrote:
> On 30/06/2008 10:56 AM, Luke Tierney wrote:
>> On Sat, 28 Jun 2008, Peter Dalgaard wrote:
>>
>>> Gabor Grothendieck wrote:
>>>> Suppose we do this:
>>>>
>>>>
>>>>> f <- function(...) environment()
>>>>> e <- f(a = 1, b = 2)
>>>>> ls(e, all = TRUE)
>>>>>
>>>> [1] "..."
>>>>
>>>>> e$...
>>>>>
>>>> <...>
>>>>
>>>>> class(e$...)
>>>>>
>>>> [1] "..."
>>>>
>>>> Is there any way of getting a and b given e without
>>>> modifying f?
>>>>
>>>> evalq(list(...),e)
>>> $a
>>> [1] 1
>>>
>>> $b
>>> [1] 2
>>>
>>>
>>
>> I'm wondering though whether we should allow the internal DOTSXP value
>> of "..." to escape to the user level. Might be more appropriate for
>> get(e,"..."), e$... (and as.list.environment and maybe a few other
>> things) to give the "Error: '...' used in an incorrect context" error
>> if the value is a DOTSXP.
>
> On the other hand, what Gabor sees in e is what he would see inside f:
>
>> f <- function(...) { ls(all=T) }
>> f(a=1, b=2)
> [1] "..."
> I don't think we should distinguish between user level in .GlobalEnv and what
> a user sees inside a function he writes. Stopping a user from seeing ...
> inside a function would break all sorts of things.
Huh??
Noone is proposing that ls or exist, for example change. ... is a
special variable that can only be used in special contexts. Just
evaluating ... gives an error; get("...") used in the same context
probably ought to as well. What we do now is clearly wrong: return an
undocumented object that can't be used for anyting useful (and
reflects an internal implementation we might want to change). We need
to either prevent the R_DOTSXP values from leaking out or document
them , define [ methods and figure out what they should do, etc.
Preventing them from leaking out is the sensible thing to do.
luke
>
> Duncan Murdoch
>
--
Luke Tierney
Chair, Statistics and Actuarial Science
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa Phone: 319-335-3386
Department of Statistics and Fax: 319-335-3017
Actuarial Science
241 Schaeffer Hall email: luke at stat.uiowa.edu
Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
More information about the R-devel
mailing list