Why should I use ParallelR when RRO is already leveraging the multi-core processing? Would I still get relevant speed increase by using ParallelR over RRO under Windows OS?
Only certain R functions take advantage of the multi-core capabilities of multi-threaded libraries. Using ParallelR is a way to take advantage of multiple cores for everything else (as long as you can express the problem as a loop)
This is shown in the "birthday" example presented in a recent webinar available at http://www.revolutionanalytics.com/webinars/introducing-revolution-...