On Thu, May 31, 2012 at 11:07 PM, Søren Højsgaard wrote:
> I would expect that there is a way of doing this without having
> to jump "into" armadillo "back" to Rcpp and "into" Armadillo again.
> I just can't spot an easier way. If a simpler solution exists I would
> be interested to know...
Perha
Hi,
On 31 May 2012 at 13:07, Søren Højsgaard wrote:
| Dear List
|
| I've tried to make an Rcpp version of X[ X[,col]==val, ] and came up with the
following:
|
| sqbr <- cxxfunction(signature(r_X='float', r_col='int', r_val='double'), body
=
| '
| using namespace arma;
| using namespace Rc
Hi James,
On 31 May 2012 at 09:42, James Simone wrote:
| I have a C++ class that has a "clone" method which returns a distinct copy of
the object.
| I want to expose the clone method in R and my question is how this is best
done using Rcpp?
|
| My first attempt to expose "clone" results in a c
I have a C++ class that has a "clone" method which returns a distinct copy of
the object.
I want to expose the clone method in R and my question is how this is best done
using Rcpp?
My first attempt to expose "clone" results in a compile error since Rcpp cannot
automatically handle
the returne
Dear List
I've tried to make an Rcpp version of X[ X[,col]==val, ] and came up with the
following:
sqbr <- cxxfunction(signature(r_X='float', r_col='int', r_val='double'), body =
'
using namespace arma;
using namespace Rcpp;
using namespace std;
mat XX = as(r_X);
double val = as
