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This article will explain in detail how to convert Rcpp and Eigen libraries in R language. The editor thinks it is very practical, so I share it with you as a reference. I hope you can get something after reading this article.

When we are using Rcpp, the easiest way to do matrix operation is to use Eigen library for related operations. It is easy to apply the idea of vectorization and matrixization in R to C++ code, so as to accelerate the code.

But sometimes we have to use Rcpp for object formats such as DataFrame,List. Or if we are involved in handling missing values, we also need to use functions in Rcpp to do so.

Therefore, how to transform between NumericVector/Matrix and VectorXd/MatrixXd in two kinds of matrix or vector format becomes very important.

We can first use VectorXd/MatrixXd in the Eigen library to operate on the matrix, and then convert it to NumericVector/Matrix in Rcpp, and then we can use the functions in Rcpp.

Concrete solution

Take the simplest conversion from NumericMatrix to MatrixXd format as an example:

/ / [[Rcpp::depends (RcppEigen)]] # include # include using namespace Rcpp;using Eigen::Map;using Eigen::MatrixXd;using Rcpp::as;// [[Rcpp::export]] MatrixXd Test (NumericMatrix AA) {Map A (as (AA)); return (A);}

We changed the object AA to object A, and if we need to transform later, we need to replace both.

This is the end of this article on "how to convert Rcpp and Eigen libraries in R language". I hope the above content can be of some help to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

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