On Wed, 14 Mar 2018, Barry Rowlingson wrote:
Depending on your application, I'm not sure there's much point in being an "advanced R programmer" these days. Become an adequate R programmer, and learn C++ and Rcpp. Do basic data mashing in R, then do all your intensive stuff in C++ with Rcpp. Eventually you'll probably get to the point where you can express yourself in C++ as fast as you can in interpreted R, with the bonus of C++ speed, type-safety etc.
Barry, Allow me to offer an alternative to C++: Python. Compiled languages are faster than interpreted ones, but unless you're doing time-critical computations it really does not matter. R and Python provide proven abilities in a broad range of applications and with today's hardware the analytical/modeling code is not likely to be the limiting factor. Regards, Rich ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
