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CPP_Main_using_Rinside_for_debugging_in_CPP.txt
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CPP_Main_using_Rinside_for_debugging_in_CPP.txt
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// "As my personal habit, I develop and debug pure C++ code first, then integrate with R.
// Turn the problem into a pure C++ development and debugging task using RInside (a great companion to Rcpp).
// To debug Rcpp scripts you can create a .cpp application (with a main) that embeds R."
// https://stackoverflow.com/questions/4980595/how-to-debug-an-r-package-with-c-code-in-emacs-using-gdb/13266822#13266822
// http://dirk.eddelbuettel.com/code/rinside.html
// https://www.gormanalysis.com/blog/using-rcpp-in-xcode/
// !!! With hints about the required include files:
// http://www.brianrhall.net/rss/linkingxcodecandrtocreateplots
#include <Rcpp.h>
#include <RInside.h>
#include "function_under_test.h"
int main(int argc, char *argv[])
{
using namespace std;
using namespace Rcpp;
RInside R(argc, argv);
string evalstr = R"(
a <- matrix(c(1,1,1, 1,1,1, 1,1,1), nrow = 3, ncol=3)
)";
R.parseEvalQ(evalstr);
SEXP a = R["a"];
R["b"] = function_under_test(a);
evalstr = R"(
print(b)
)";
R.parseEvalQ(evalstr);
return 0;
}
// ----------------------------------------------------------------------------------
#include <iostream>
#include <Rcpp.h>
#include <RInside.h>
using namespace std;
using namespace Rcpp;
int main(int argc, char** argv) {
cout<<"Hello World!"<<endl;
RInside R(argc, argv); // Error disappears if creating an embedded R instance because calling Rcpp functions
CharacterVector x = CharacterVector::create( "foo", "bar" ); // problem occurs here
cout<<"Done!"<<endl;
return 0;
}
// -------------------------------------------------------------------------------
// https://www.gormanalysis.com/blog/using-rcpp-in-xcode/
// http://www.brianrhall.net/rss/linkingxcodecandrtocreateplots
#include <iostream>
#include <Rcpp.h>
#include <RInside.h>
int main(int argc, const char * argv[]) {
// Create an embedded R instance
RInside R(argc, argv);
// Print Hello World to the console using Rcout
Rcpp::Rcout << "Hello World!" << std::endl;
// Make a numeric vector. Then calculate and print the mean
Rcpp::NumericVector x = Rcpp::NumericVector::create(1, 2, 3);
double y = Rcpp::mean(x);
std::cout << "Mean: " << y << std::endl;
return 0;
}