Dear R-helpers, I'm dealing with large datasets, say tables of 60 000 times 12 or so, and some of the functions are (too ) slow and I'm therefore trying to find ways to speed them up. I've found that for instance for-loops are slow in R (both by testing and by searching through mail archives etc ) Are there any more well known arguments that are slow in R, ,maybe at data representation level, code-writing, reading in the data. I've also tried incorporating C-code, which works well, but I'd also like to find other, maybe more "shortcut" ways.
Thanks in advance, Freja!
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