A colleague recently asked about getting started using Rcpp. After I sent the e-mail I thought that information may be of use to others. So I decided to blog about it.
Rcpp is a package on CRAN that facilitates an interface between R and C++. It includes data structures that allow for easy sharing of data between the two languages. Because writting C++ code is usually more challenging than writing R code you should probably reserve it for tasks that you will repeat.
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I maintain an R package or two. The R universe includes a lot of nice tools that perform ‘magic’ to help my job as a developer easier. Sometimes, this magic breaks, which leaves me at a loss. My best path forward involves creating a new, minimal, package and attempting to rebuild the package. Because of the stated dependencies, this minimal package requires:
roxygen2 Rcpp This repository describes how I build this minimal package.
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In C++ you can create functions in order to help organize your code. This is helpful as your project grows or if you have a task that is performed by a function that several other functions may call. However, the functions you create are only visible to the other funcitons that are contained in a single source file. As your project grows, you may want to distribute your functions among several files.
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I have a package on CRAN where the CRAN tests are reporting a memory error. In order to use the address sanitizer (ASAN) we need to have a version of R that has been compiled specially to make use of it. In a previous post I described how we can use Docker to run rocker images so we do not have to change our system R. I’ve also validated the ASAN is working.
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