[Rd] alternatives to do.call() when namespace is attached but not loaded?

peter dalgaard pdalgd at gmail.com
Tue Feb 24 22:38:44 CET 2015


> On 24 Feb 2015, at 19:53 , Hadley Wickham <h.wickham at gmail.com> wrote:
> 
> do.call(sna::snaFunName, args = args)
> 
> ?
> 

I was about to suggest something similar. The key is that the first arg to do.call is not necessarily a text string; it can be the actual function object. So something along the lines of 

name <- as.name("snaFunName")
f <- eval(bquote(sna::.(name)))
do.call(f, args)

should work too. 

> Hadley
> 
> On Tue, Feb 24, 2015 at 1:29 PM, Skye Bender-deMoll
> <skyebend at skyeome.net> wrote:
>> Dear R-devel
>> 
>> I have a function in a package that essentially provides a wrapper for a
>> group of functions in another Suggested package (it sets appropriate
>> defaults for the context, transforms output, etc).  I've implemented this by
>> verifying that the package was loaded with
>> 
>> require(sna)
>> 
>> and then
>> 
>> do.call(snaFunName, args = args)
>> 
>> 
>> The rDevel check is requesting that I use  requireNamespace(sna) instead of
>> directly loading the SNA package. This seems reasonable, except that I have
>> yet to figure out a way to use do.call to call the function when the
>> namespace is attached but package is not loaded. do.call("sna::funName",..)
>> doesn't seem to work.
>> 
>> 1) Can do.call() call functions that are only namespace attached? Is there
>> better way to accomplish this without do.call()? For example, should I use
>> getAnywhere('funName') ('tho this doesn't seem to permit restricting search
>> to a specific namespace..)
>> 
>> 2) Is this an appropriate of require() instead of requireNamespace() to
>> ensure that the Suggested package is loaded and attached? Can I ignore the
>> check warning?
>> 
>> best,
>> -skye
>> 
>> ______________________________________________
>> R-devel at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-devel
> 
> 
> 
> -- 
> http://had.co.nz/
> 
> ______________________________________________
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-- 
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd.mes at cbs.dk  Priv: PDalgd at gmail.com



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