Thank you for replying! But I have since figured out how to perform the
operator overloading after reading the "Not so short tutorial to S4 classes"
and a bit of Robert Gentleman's deceptively titled book on R.
(I had mistakenly posted to r-devel earlier and when I posted to r-help
subsequently I
Hi,
I need some help to get some of the object orientation, specifically the
methods that overload the basic arithmetic operations, from sample C++
code to R. I don't have experience with such advanced language features
inside of R. So I was wondering if some of you could help me out in this
regar
hich Eureqa adjusts for
> degrees of freedom in his fit evaluations.
>
> Best regards,
> James Salsman
>
> On Sun, Mar 7, 2010 at 10:39 PM, Chidambaram Annamalai
> wrote:
> >
> >> If I understand your concern, you want to lay the foundation for
> >> de
omparison for nonlinear
> models, but there are several good choices for approximations,
> including the residual standard error, which I believe can be adjusted
> for degrees of freedom, as can the F statistic which TableCurve uses;
> see: http://en.wikipedia.org/wiki/F-test#Regression
It's been a while since I proposed syrfr and I have been constantly in
contact with the many people in the R community and I wasn't able to find a
mentor for the project. I later got interested in the Automatic
Differentiation proposal (adinr) and, on consulting with a few others within
the R commu
-project.org/cgi-bin/mailman/listinfo/rcpp-devel
>
> Good luck finding a mentor, this sounds like a cool project.
>
> Romain
>
>
> On 03/03/2010 08:17 PM, Chidambaram Annamalai wrote:
>
>>
>> Hi all,
>>
>> I am looking to extend the regression and d
Hi all,
I am looking to extend the regression and data analysis capabilities of R
through Symbolic Regression that can potentially find implicit equation
relationships in the input data. You can find my project proposal at:
http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010:syrfr
