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adv-r.had.co.nz | ||
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www.r-statistics.com
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| | | | | 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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boxbase.org
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| | | | | I came up with an idea when studying type theory. I am a vehement proponent of dynamic typing but there are several ideas that require me to explore into type theory so I am studying it. | |
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www.noamross.net
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| | | | | This is an overview of tools for speeding up your R code that I wrote for the Davis R Users' Group. First, Ask "Why?" It's customary to quote Donald Knuth at this point, but instead I'll quote my twitter buddy Ted Hart to illustrate a point: I'm just going to say it.I like for loops in #Rstats, makes my code readable.All you [a-z]*ply snobs can shove it! - Ted Hart (@DistribEcology) March 12, 2013 Code optimization is a matter is a matter of personal taste and priorities. | |
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gergo.erdi.hu
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