I have already made a simple R package (pure R) to solve a problem with brute force then I tried to faster the code by writing the Rcpp script. I wrote a script to compare the running time with the "bench" library. now, how can I add this script to my package? I tried to add
#'@importFrom Rcpp cppFunction
on top of my R script and inserting the Rcpp file in the scr folder but didn't work. Is there a way to add it to my r package without creating the package from scratch? sorry if it has already been asked but I am new to all this and completely lost.
That conversion is actually (still) surprisingly difficult (in the sense of requiring more than just one file). It is easy to overlook details. Let me walk you through why.
Let us assume for a second that you started a working package using the R package package.skeleton()
. That is the simplest and most general case. The package will work (yet have warning, see my pkgKitten
package for a wrapper than cleans up, and a dozen other package helping functions and packages on CRAN). Note in particular that I have said nothing about roxygen2
which at this point is a just an added complication so let's focus on just .Rd
files.
You can now contrast your simplest package with one built by and for Rcpp
, namely by using Rcpp.package.skeleton()
. You will see at least these differences in
DESCRIPTION
for LinkingTo:
and Imports
NAMESPACE
for importFrom
as well as the useDynLib
linesrc
directory and a possible need for src/Makevars
All of which make it easier to (basically) start a new package via Rcpp.package.skeleton()
and copy your existing package code into that package. We simply do not have a conversion helper. I still do the "manual conversion" you tried every now and then, and even I need a try or two and I have seen all the error messages a few times over...
So even if you don't want to "copy everything over" I think the simplest way is to
Rcpp
diff
PS And remember that when you use roxygen2
and have documentation in the src/
directory to always first run Rcpp::compileAttributes()
before running roxygen2::roxygenize()
. RStudio and other helpers do that for you but it is still easy to forget...