rcpp

SYSTEM SPEC: OS - Mac OS X 10.6.8 (Snow Leopard) g++ - Macports gcc 4.8.1_2+universal R - 2.15.3 Rcpp - 0.10.3 I keep on receiving an error when I am trying to compile functions that use C++11 in R (through Rcpp) - for some reason, g++ does not recognise -std=c++11 option. This example is taken from Rcpp help files (it does not contain anything specific to C++11, but can show what my problem is). If I try running: require( Rcpp ) Sys.setenv( "PKG_CXXFLAGS"="-std=c++11" ) cppFunction(plugins=c("cpp11"), ' int useCpp11() { int x = 10; return x; }') I get: cc1plus: error: unrecognized command

I am trying to use some code from OpenCV in an R package, using Rcpp to build the package. When I compile the c code on my machine, it works fine. For example, I am using the the following syntax locally to compile the facedetect.cpp code: g++ `pkg-config --cflags opencv` facedetect.cpp -o facedetect `pkg-config --libs opencv` However, when I try to include it in my package using the following command: R CMD SHLIB facedetect.cpp -o facedetect with the following defined in my makevars file: PKG_CPPFLAGS= `$(R_HOME)/bin/Rscript -e 'Rcpp:::CxxFlags()'` PKG_LIBS = `$(R_HOME)/bin/Rscript -e "Rcpp::

I am trying to define a function using Rcpp for speedup. The situation is as follows: I have a package FOO with a lot of C++ code (my own package and currently not using Rcpp) which have defined a set of functions e.g. foo_a and foo_b. In another package BAR (using Rcpp) I am defining a function (using Rcpp Attributes) where I want to call functions foo_a and foo_b. How do I solve this? Looking a bit in other posts I get that I have in some way to include header files in FOO and use attribute // [[Rcpp::depends(FOO)]] in BAR, but I seem to miss some points. Any hints on how to do it? Best Lars

I have been working my way through Dirk Eddelbuettel's Rcpp tutorial here: http://www.rinfinance.com/agenda/ I have learned how to save a C++ file in a directory and call it and run it from within R. The C++ file I am running is called 'logabs2.ccp' and its contents are directly from one of Dirk's slides: #include <Rcpp.h> using namespace Rcpp; inline double f(double x) { return ::log(::fabs(x)); } // [[Rcpp::export]] std::vector<double> logabs2(std::vector<double> x) { std::transform(x.begin(), x.end(), x.begin(), f); return x; } I run it with this R code: library(Rcpp) sourceCpp("c:/users

With RcppArmadillo the conversion from R to Rcpp with arma::vec is just as easy as with Rcpp and NumericVector . My project utilizes RcppArmadillo. I'm unsure what to use, NumericVector or arma::vec ? What are the key differences between those two? When to use which? Is there a performance/memory advantage of using one over the other? Are the only difference the member functions? And, as a bonus question: should I even consider arma::colvec or arma::rowvec ? What are the key differences between those two? The *Vector and *Matrix classes in Rcpp act as wrappers for R 's SEXP representation, e.g

I want to construct a data frame in an Rcpp function, but when I get it, it doesn't really look like a data frame. I've tried pushing vectors etc. but it leads to the same thing. Consider: RcppExport SEXP makeDataFrame(SEXP in) { Rcpp::DataFrame dfin(in); Rcpp::DataFrame dfout; for (int i=0;i<dfin.length();i++) { dfout.push_back(dfin(i)); } return dfout; } in R: > .Call("makeDataFrame",mtcars,"myPkg") [[1]] [1] 21.0 21.0 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 17.8 16.4 17.3 15.2 10.4 [16] 10.4 14.7 32.4 30.4 33.9 21.5 15.5 15.2 13.3 19.2 27.3 26.0 30.4 15.8 19.7 [31] 15.0 21.4 [[2]] [1] 6 6 4