1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42
|
// -*- mode: C++; c-indent-level: 4; c-basic-offset: 4; tab-width: 8; -*-
//
// Simple example for using lm() using the example from help(swiss)
//
// Copyright (C) 2009 Dirk Eddelbuettel
// Copyright (C) 2010 Dirk Eddelbuettel and Romain Francois
#include <RInside.h> // for the embedded R via RInside
#include <iomanip>
int main(int argc, char *argv[]) {
RInside R(argc, argv); // create an embedded R instance
std::string txt = // load library, run regression, create summary
"suppressMessages(require(stats));"
"swisssum <- summary(lm(Fertility ~ . , data = swiss));"
"print(swisssum)";
R.parseEvalQ(txt); // eval command, no return
// evaluate R expressions, and assign directly into Rcpp types
Rcpp::NumericMatrix M( (SEXP) R.parseEval("swcoef <- coef(swisssum)"));
Rcpp::StringVector cnames( (SEXP) R.parseEval("colnames(swcoef)"));
Rcpp::StringVector rnames( (SEXP) R.parseEval("rownames(swcoef)"));
std::cout << "\n\nAnd now from C++\n\n\t\t\t";
for (int i=0; i<cnames.size(); i++) {
std::cout << std::setw(11) << cnames[i] << "\t";
}
std::cout << std::endl;
for (int i=0; i<rnames.size(); i++) {
std::cout << std::setw(16) << rnames[i] << "\t";
for (int j=0; j<cnames.size(); j++) {
std::cout << std::setw(11) << M(i,j) << "\t";
}
std::cout << std::endl;
}
std::cout << std::endl;
exit(0);
}
|