On 03/06/2010 03:27 AM, alex46...@yahoo.com wrote:
I think the first question should be how to build a R function to call a bunch
of C ,C++ which include one main program, and a makefile. My goal to build a R
package will be next step.
You should jump straight to making a package. You are
Hello,
As this little program illustrates, duplicating a STRSXP does not seem
deep enough.
require( inline )
fx - cfunction( signature( x = character), '
SEXP y = PROTECT( duplicate( x ) );
int n = LENGTH(x);
int nc = 0 ;
char* p = 0 ;
for( int i=0;
Hello,
I understand now that this is very intended after reading:
http://cran.r-project.org/doc/manuals/R-ints.html#The-CHARSXP-cache
So we are not supposed to modify a CHARSXP character by character.
Sorry for the noise.
Romain
On 03/07/2010 10:48 AM, Romain Francois wrote:
Hello,
As
Per http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010
-- and http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010:syrfr
-- I am applying to mentor the Symbolic Regression for R (syrfr)
package for the Google Summer of Code 2010.
I propose the following test which an
Thank you for your help. So far what I did on my notebook as follows. My OS
is windows7.
Â
I downloaded Rcpp windows version, and load library(Rcpp) then.
Â
1, Change main funnction to f1.cpp, remove makefile.
2 ,run Rcpp.package.skeleton(name=test,list=c(rec1.R,rect2.R))
3, edit  /man, /R,
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
Chillu,
If I understand your concern, you want to lay the foundation for
derivatives so that you can implement the search strategies described
in Schmidt and Lipson (2010) --
http://www.springerlink.com/content/l79v2183725413w0/ -- is that
right? It is not clear to me how well this generalized
If I understand your concern, you want to lay the foundation for
derivatives so that you can implement the search strategies described
in Schmidt and Lipson (2010) --
http://www.springerlink.com/content/l79v2183725413w0/ -- is that
right?
Yes. Basically traditional naive error estimators or
Hi,
Yes, the problem is with spaces in path names. This has been fixed and
will appear as Rcpp 0.7.8 in a few days.
If you are in a rush, you can build it from svn, or quote the path that
is returned from CxxFlags.
Feel free to get back to us with more questions, although I'd encourage
Chillu, I meant that development on both a syrfr R package capable of
using either F statistics or parametric derivatives should proceed in
parallel with your work on such a derivatives package. You are right
that genetic algorithm search (and general best-first search --
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