Consider the following R code,
## ----------- R version -----------
caller <- function(x=1:3, fun = "identity", ...){
## do some other stuff
## ...
## then call the function
eval(call(fun, x))
}
fun1 <- function(x, ...){
x + x
}
fun2 <- function(x, a = 10) a * x
caller(fun = "fun1")
caller(fun = "fun2")
The user can pass a function name "fun", that is used by caller
. I wish to perform the same task with RcppArmadillo
objects (as part of a more complex task, obviously). The function would be defined in C++
, and the user selects it at the R level by referring to its name:
caller_cpp(1:3, "fun1_cpp")
or
caller_cpp(1:3, "fun2_cpp")
etc.
Here's my naive attempt for the caller function, that even fails to compile:
## ----------- C++ version -----------
library(Rcpp)
require( RcppArmadillo )
sourceCpp( code = '
// [[Rcpp::depends("RcppArmadillo")]]
#include <RcppArmadillo.h>
using namespace arma ;
using namespace Rcpp ;
colvec fun1_cpp(const colvec x)
{
colvec y ;
y = x + x;
return (y);
}
colvec fun2_cpp(const colvec x)
{
colvec y ;
y = 10*x;
return (y);
}
// mysterious pointer business in an attempt
// to select a compiled function by its name
typedef double (*funcPtr)(SEXP);
SEXP putFunPtrInXPtr(SEXP funname) {
std::string fstr = Rcpp::as<std::string>(funname);
if (fstr == "fun1")
return(Rcpp::XPtr<funcPtr>(new funcPtr(&fun1_cpp)));
else if (fstr == "fun2")
return(Rcpp::XPtr<funcPtr>(new funcPtr(&fun2_cpp)));
}
// [[Rcpp::export]]
colvec caller_cpp(const colvec x, character funname)
{
Rcpp::XPtr fun = putFunPtrInXPtr(funname);
colvec y ;
y = fun(x);
return (y);
}
')
Edit: adapted the example after following Dirk's suggestion to look at RcppDE.
(Sometime you need to use svn log ...
on files to see how dated they are...)
I think a better use case is in my "port" of the C-based DEoptim to Rcpp / RcppArmadillo: RcppDE. In it, I allow the optimization routine to use either an R function (as DEoptim does) or a user-supplied compiled function -- which is what you want here as I understand it.
There is a tiny bit of C++ scaffolding, but you should have no problem following that.
Edit on 2013-01-21 Below is a complete solution which I have also justed posted as this new post at the Rcpp Gallery -- including some comments and sample usage.
// [[Rcpp::depends(RcppArmadillo)]]
#include <RcppArmadillo.h>
using namespace arma;
using namespace Rcpp;
vec fun1_cpp(const vec& x) { // a first function
vec y = x + x;
return (y);
}
vec fun2_cpp(const vec& x) { // and a second function
vec y = 10*x;
return (y);
}
typedef vec (*funcPtr)(const vec& x);
// [[Rcpp::export]]
XPtr<funcPtr> putFunPtrInXPtr(std::string fstr) {
if (fstr == "fun1")
return(XPtr<funcPtr>(new funcPtr(&fun1_cpp)));
else if (fstr == "fun2")
return(XPtr<funcPtr>(new funcPtr(&fun2_cpp)));
else
return XPtr<funcPtr>(R_NilValue); // runtime error as NULL no XPtr
}
// [[Rcpp::export]]
vec callViaString(const vec x, std::string funname) {
XPtr<funcPtr> xpfun = putFunPtrInXPtr(funname);
funcPtr fun = *xpfun;
vec y = fun(x);
return (y);
}
// [[Rcpp::export]]
vec callViaXPtr(const vec x, SEXP xpsexp) {
XPtr<funcPtr> xpfun(xpsexp);
funcPtr fun = *xpfun;
vec y = fun(x);
return (y);
}
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