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www.noamross.net | ||
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adv-r.had.co.nz
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www.r-statistics.com
This post is about speeding up your R code using the JIT (just in time) compilation capabilities offered by the new (well, now a year old) {compiler} package. Specifically, dealing with the practical difference between enableJIT and the cmpfun functions. If you do not want to read much, you can just skip to the example |
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codingclubuc3m.rbind.io
Learning to code can be quite hard. Apart from the difficulties of learning a new language, following a book can be quite boring. From my point of view, one of the bests ways to become a good programmer is choosing small and funny experiments oriented to train specific techniques of programming. This is what I usually do in my blog Fronkonstin. In this tutorial, we will learn to combine C++ with R to create efficient loops. |
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tdhock.github.io
Statistical machine learning researcher working on fast optimization algorithms for large data. |
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