Hi folks! What's the best pratices to accept a dataframe and numericmatrix in a function?
Should I have two different methods to deal with NumericMatrix and DataFrame? Could I convert DataFrame to matrix? What's the impact of doing this, i.e. does the as.matrix copy dataframe data? Thanks in advance! --- Today I'm doing something like this: void RCPP_function(const RObject &vec, const RObject &mat) { if(mat.isNULL()) Rcpp::stop("mat can't be null"); NumericMatrix variable_matrix; if (is<NumericMatrix>(mat)) variable_matrix = as<NumericMatrix>(mat); else variable_matrix = Rcpp::internal::convert_using_rfunction(mat, "as.matrix"); NumericVector variable_vector; if((is<NumericVector>(target) || is<DataFrame>(target)) && !target.isNULL()){ variable_vector=as<NumericVector>(target); }else{ variable_vector=colMeans(variable_matrix); } ... do something with data but here it's sure to be: NumericVector (variable_vector) NumericMatrix (variable_matrix) ... } -- Roberto Spadim _______________________________________________ Rcpp-devel mailing list Rcpp-devel@lists.r-forge.r-project.org https://lists.r-forge.r-project.org/cgi-bin/mailman/listinfo/rcpp-devel