Open Science Through R
[This article was first published on Econometrics Beat: Dave Giles' Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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There’s so much being written about R these days, and justifiably so. If you use R for your econometrics, you should also keep in mind that its applicability is far wider than statistical analysis.
A big HT to the folks at Quandl for leading me to a nice overview of the way in which R is enabling some big changes in the way in which scientific research is being conducted more generally. The article in question is by Tina Amirtha, “How the Rise of the “R” Language is Bringing Open Source to Science”, which you’ll find here.
If you think that R is just about statistics, and you can’t see the point of investing some time (not money) in getting on board, then read Tina’s piece.
You’ll change your mind if you consider yourself a survivor.
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