Reputation: 2085
This thread provides an example of converting an Rcpp::NumericVector
to an Eigen::VectorXd
:
Rcpp::cppFunction("bool conv(NumericVector X) { \
Eigen::Map<Eigen::VectorXd> \
XS(Rcpp::as<Eigen::Map<Eigen::VectorXd> >(X)); return true; } ",
depends="RcppEigen")
conv(1:4)
but I can't manage to adapt this to creating statically-sized or fixed-size Eigen containers
Rcpp::cppFunction("bool conv(NumericVector X) { \
Eigen::Map<Eigen::Matrix<double,4,1>> \
XS(Rcpp::as<Eigen::Map<Eigen::Matrix<double,4,1>> >(X)); return true; } ",
depends="RcppEigen")
conv(1:4)
How can this be done?
Upvotes: 1
Views: 56
Reputation: 368499
Here is a minimal brute-force approach of instantiating a fixed-size 4x1 matrix ... and then using memcpy()
to copy the payload over. As my comment earlier mentioned we have no code in RcppEigen
that transfer from a SEXP
R object to such an Eigen
type so there is not a lot more we can do.
#include <RcppEigen.h>
// [[Rcpp::depends(RcppEigen)]]
// [[Rcpp::export]]
bool conv1(Rcpp::NumericVector X) {
Eigen::Map<Eigen::VectorXd> XS(Rcpp::as<Eigen::Map<Eigen::VectorXd>>(X));
return true;
}
// [[Rcpp::export]]
bool conv2(Rcpp::NumericVector X) {
const int n = 4;
if (X.size() != n) Rcpp::stop("Wrong size");
Eigen::Matrix<double,4,1> m;
std::memcpy(&m[0,0], &X[0], n*sizeof(double));
Rcpp::Rcout << m << std::endl;
return true;
}
/*** R
x <- as.numeric(1:4)
conv1(x)
conv2(x)
*/
> Rcpp::sourceCpp("~/git/stackoverflow/76706728/answer.cpp")
> x <- as.numeric(1:4)
> conv1(x)
[1] TRUE
> conv2(x)
1
2
3
4
[1] TRUE
>
Upvotes: 2