[Rcpp-devel] Using loess() from Rcpp

[Romain Francois]

Le 08/04/10 00:03, Davor Cubranic a écrit :
>
> Thank you both, Dirk and Romain, for the advice and to Romain for adding the Formula class. And I apologize for the unclear question. I was asking two or three things, but none of them directly. That's what happens when I try to fire off an email late in the afternoon the last workday before a vacation.
>
> What I had meant was, firstly, how to pass the formula to 'loess'. I appreciate Romain's adding the Formula class, and will use it once it's out in a release. In the meantime, I actually read the R docs a bit more carefully, and realized I could just use the 'formula' function, i.e., Function("formula")("y~x"). But using the Formula class is cleaner and more readable, so I'll switch once I can.
>
> As for my DSL remark, I still think it would be nice to have a C++ operator that worked like R's '~' and produced a Formula instance from NumericVectors. It's not important, really -- maybe it's something I could attempt once I understand meta-templates and Rcpp's internals. Although, as I think about it, I've no idea how it could be done, given that 'y' and 'x' in 'y~x' are just symbols that have no connection to my NumericVector instances 'x' and 'y'.

Feel free to write a design document. As I said before operator~ is 
unary in c++, so it does not help. Sometimes people use operator% for 
things like that.

Please include in your design what would be the gain over just using R 
to parse the formula.

> Lastly, I was wondering if anyone had just used 'loess_raw' directly from Rcpp code, without going through R and 'loess' at all. Again, this may be something I'll explore down the road if I really have to, since I now have code that does the right thing simply and works correctly. :-)

I have not, there is no reason why it should not work.

> Davor
>
>
> On 2010-04-02, at 9:25 PM, Dirk Eddelbuettel wrote:
>
>>
>> On 1 April 2010 at 17:04, Davor Cubranic wrote:
>> | Has anyone here used R curve-fitting from Rcpp? Like loess(), for example?
>> | Reading the R code, after a couple of layers of preliminaries to extract all
>> | the required parameters, it ends up in C (loess_raw) and Fortran (lowesw and
>> | lowesp).
>>
>> I read your mail briefly while I was gone [ which included two well-received
>> talks about Rcpp / RInside on the west coast :) ], and now that I got back
>> into town I still don't fully understand what you want.
>>
>> You do have function objects, as well as examples/functionCallback/ -- is
>> that good enough?  It allows you to call just about any R function via Rcpp,
>> but of course it doesn't magically make it faster.
>>
>> And in case you are coming from C++ rather than R: look at RInside.
>>
>> | It would be nice if there were already code out there that gives me a
>> | tidier interface that I could use instead of transcribing the R wrapper
>> | into C. And even cooler if R's 'formula' DSL had a C++ equivalent...
>>
>> Well but R source was written to be used from R so ... I still don't quite
>> understand what you are expecting.  That Rcpp rewrites all of R for you?
>>
>> Anyway, Romain kindly added formula objects to Rcpp as well. So maybe that
>> will help you along, and more examples or use cases would be fine too.
>>
>> Cheers, Dirk
>>
>> --
>>   Registration is open for the 2nd International conference R / Finance 2010
>>   See http://www.RinFinance.com for details, and see you in Chicago in April!



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Romain Francois
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