-
-
Save npezolano/6408002 to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; tab-width: 8; -*- | |
// | |
// Simple example showing how expose a C++ function | |
// | |
// Copyright (C) 2010 Dirk Eddelbuettel and Romain Francois | |
#include <RInside.h> // for the embedded R via RInside | |
// a c++ function we wish to expose to R | |
const char* hello( std::string who ){ | |
std::string result( "hello " ) ; | |
result += who ; | |
return result.c_str() ; | |
} | |
const double doubler( double input ){ | |
return 2.0 * input; | |
} | |
//const double ary_sum( double *input[] ){ | |
const double ary_sum( const Rcpp::NumericVector & input ){ | |
double asum = 0.0; | |
for(int i = 0; i < 3; i++) { | |
asum += input[i]; | |
} | |
return asum; | |
} | |
//const double ary_sum( double *input[] ){ | |
const double my_objective_fn( const Rcpp::NumericVector & input ){ | |
double asum = 0.0; | |
asum = ((input[0] - 3.0)*(input[0] - 3.0)) + | |
((input[1] - 5.5)*(input[1] - 5.5)); | |
return asum; | |
} | |
int main(int argc, char *argv[]) { | |
// create an embedded R instance | |
RInside R(argc, argv); | |
// expose the "hello" function in the global environment | |
R["hello"] = Rcpp::InternalFunction( &hello ) ; | |
R["doubler"] = Rcpp::InternalFunction( &doubler ); | |
R["ary_sum"] = Rcpp::InternalFunction( &ary_sum ); | |
R["my_objective_fn"] = Rcpp::InternalFunction( &my_objective_fn ); | |
// call it and display the result | |
std::string result = R.parseEval("hello('world')") ; | |
std::cout << "hello( 'world') = " << result << std::endl ; | |
double ans = R.parseEval("doubler(3.0)"); | |
std::cout << "doubler(3.0) = " << ans << std::endl ; | |
ans = R.parseEval("ary_sum(c(3.0, 4.5, 2.1))"); | |
std::cout << "ary_sum(c(3.0, 4.5, 2.1)) = " << ans << std::endl ; | |
ans = 0.0; | |
ans = R.parseEval("my_objective_fn(c(1.0, 2.0))"); | |
std::cout << "my_objective_fn(c(1.0, 2.0)) = " << ans << std::endl ; | |
Rcpp::List x = R.parseEval("optim(c(.2,.8), my_objective_fn)"); | |
Rcpp::NumericVector optimum_point = Rcpp::as<Rcpp::NumericVector>(x[0]); | |
std::cout << "OPT.0: " << optimum_point(0) << std::endl; | |
std::cout << "OPT.1: " << optimum_point(1) << std::endl; | |
exit(0); | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment