Trying to compile a function in Rcpp that brings in a R package called read_excel.
Not sure what the error means but perhaps it cant find the function in the package?
cppFunction('IntegerVector readYear(CharacterVector filePath ) {
IntegerVector Year(filePath.size());
int n=filePath.size();
Environment pkg = Environment::namespace_env("readxl");
Function read_excel=pkg["read_excel"];
for( int i =0 ; i<n; i++){
Year[i] = read_excel(Named("path") = filePath[i],
_["range"] = "B3:B3",
_["col_names"] = false );
}
return Year;
}')
Error message:
file391220cd2e2.cpp: In function ‘Rcpp::IntegerVector readYear(Rcpp::CharacterVector)’:
file391220cd2e2.cpp:18:22: error: invalid conversion from ‘SEXP {aka SEXPREC*}’ to ‘Rcpp::traits::storage_type<13>::type {aka int}’ [-fpermissive]
Year[i] = read_excel(Named("path") = filePath[i],
^
make: *** [file391220cd2e2.o] Error 1
g++ -std=gnu++11 -I"/opt/R/3.6.0/lib/R/include" -DNDEBUG -I"/home/rstudio-user/R/x86_64-pc-linux-gnu-library/3.6/Rcpp/include" -I"/tmp/RtmpbaxzNs/sourceCpp-x86_64-pc-linux-gnu-1.0.2" -I/usr/local/include -fpic -g -O2 -c file391220cd2e2.cpp -o file391220cd2e2.o
/opt/R/3.6.0/lib/R/etc/Makeconf:176: recipe for target 'file391220cd2e2.o' failed
Error in sourceCpp(code = code, env = env, rebuild = rebuild, cacheDir = cacheDir, :
Error 1 occurred building shared library.
The error message means that it is not directly possible to convert the return type of an R function (SEXP
) to the storage type of an IntegerVector
(int
). You can instruct Rcpp
to do so using Rcpp::as<int>(...)
:
Rcpp::cppFunction('IntegerVector readYear(CharacterVector filePath ) {
int n = filePath.size();
IntegerVector Year(n);
Environment pkg = Environment::namespace_env("readxl");
Function read_excel=pkg["read_excel"];
for(int i =0; i<n; ++i){
Year[i] = Rcpp::as<int>(read_excel(_("path") = filePath[i],
_["range"] = "B3:B3",
_["col_names"] = false ));
}
return Year;
}')
BTW, I hope there is a good reason for doing this in C++, since as it is the function will be slower than the equivalent R function, since calling R functions from C++ has its price.