Why use Rcpp?

Improved performance

C++ is a lower-level language that can execute computations more efficiently than R, thus C++ code executed via Rcpp runs significantly faster than the equivalent R code.

Seamless integration and Developer Friendly API

Rcpp provides a simple syntax that enables developers to write C++ code within R scripts without needing to switch between languages, for this Rcpp provides C++ classes that align with R’s object-oriented programming style. These classes, such as NumericVector, CharacterVector, List, DataFrame, etc., enable developers to work with R data structures in a natural and efficient manner within the same R script.

When dealing with performance issues in R code, there may be situations where R alone is not sufficiently fast. To rescue there is a powerful package in R Programming Language called Rcpp that allows for seamless integration of C++ code into R, providing significant performance improvements. Converting R code into C++ using Rcpp can enhance computational efficiency, especially for computationally intensive tasks. This guide will walk you through the process of converting R code into C++ using Rcpp.