On Fri, May 14, 2010 at 10:13 AM, Simon Urbanek
wrote:
>
> On May 14, 2010, at 10:29 AM, Jeff Ryan wrote:
>
>> This isn't like a local variable though, since any function above the
>> baseenv() in the search path will also not be found.
>>
>
> Yes, but that is a consequence of the request and hence intended. You can
> always either specify the full path to the function or assign locally any
> functions you'll need:
>
>> f = function(a) stats::rnorm(b)
>> environment(f) <- baseenv()
>> f()
> Error in stats::rnorm(b) : object 'b' not found
>
>> f = function(a) { rnorm=stats::rnorm; rnorm(b) }
>> environment(f) <- baseenv()
>> f()
> Error in rnorm(b) : object 'b' not found
>
> Alternatively you can use any environment up the search path hoping that
> those won't define further variables.
>
> But back to the original question -- if taken literally, it's quite useless
> since it corresponds to using emptyenv() instead of baseenv() which means
> that you can't do anything:
>
>> local(1+1,emptyenv())
> Error in eval(expr, envir, enclos) : could not find function "+"
>
>
> So likely the only useful(?) distinction would be to allow function lookup
> the regular way but change only the variable lookup to not look beyond the
> current environment. That is stretching it, though...
I didn't think of the corner cases. I'm OK with stats::rnorm or
stats:::rnorm. But '{' is not recognized. How to make it be
recognized?
b=1
f=function() {
stats::rnorm(b)
}
f()
#environment(f)=base()
environment(f)=emptyenv()
f()
> Cheers,
> Simon
>
>
>
>
>
>>> f
>> function(a) { rnorm(b) }
>>
>>
>>> f()
>> Error in f() : could not find function "rnorm"
>>
>> Jeff
>>
>> On Fri, May 14, 2010 at 9:20 AM, Hadley Wickham wrote:
>>
Hello All,
By default, a reference of a variable in a function cause R to look
for the variable in the parent environment if it is not available in
the current environment (without generating any errors or warnings).
I'm wondering if there is a way to revert this behaviors, such that it
will not look for the parent environment and will generate an error if
the variable is not available in the current environment. Is this
tuning has to be done at the C level?
>>>
>>> Try this:
>>> b <- 1
>>> f <- function(a) {
>>> b
>>> }
>>>
>>> environment(f) <- baseenv()
>>> f()
>>>
>>> Hadley
>>>
>>> --
>>> Assistant Professor / Dobelman Family Junior Chair
>>> Department of Statistics / Rice University
>>> http://had.co.nz/
>>>
>>> __
>>> R-devel@r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-devel
>>>
>>
>>
>>
>> --
>> Jeffrey Ryan
>> jeffrey.r...@insightalgo.com
>>
>> ia: insight algorithmics
>> www.insightalgo.com
>>
>> [[alternative HTML version deleted]]
>>
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>>
>>
>
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--
Tom
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