R in a nutshell

What Hacker News says

1. saosebastiaoDec 2012
   R in a Nutshell, combined with this tutorial: http://yudkowsky.net/rational/bayes
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2. etrainJan 2012
   Heavy R user here. When I was starting out, this: http://cran.r-project.org/doc/contrib/Short-refcard.pdf was a savior and goes well with this piece.

   As others have mentioned, getting into the useful data structures and libraries is the next step here, because those are what makes R great. The book "R in a Nutshell" is a nice desktop reference, and the CRAN Task Views for your domain are a pretty helpful jumping off point: http://cran.r-project.org/web/views/

   The R mailing list and Stack Overflow communities are also a tremendous resources.

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3. etrainJan 2012
   Fair enough - I've had some good experience pointing new R users to R in a Nutshell - but maybe Data Manipulation with R is better. Haven't used it and will take a look.

   One invaluable resource I forgot to point out was: http://www.statmethods.net/ Very concise, directed pages that help you understand common/acceptable ways to do specific things.

   For plotting, I usually skip the base R plots and go with ggplot2.

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4. linhirOct 2011
   I do a good bit of R programming, and R in a Nutshell has been the best quick reference guide I have found.
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5. goodsideAug 2010
   I work in a statistics-related field and use R daily. Most R books emphasize applications for statistics, not R itself; they're written for non-programmers. R in a Nutshell overviews R itself and assumes basic programming experience. I personally prefer this method, since I can just Google for any particular stats functions I need. If you're already a programmer, this is probably the R book you want.
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6. gchpacoFeb 2010
   R, while an excellent toolkit in many ways, suffers somewhat from a deficiency of useful programming tutorials. It's not as though I'm new to that style of data manipulation—I loved APL when I was younger—but almost all R documentation out in the wild is either "how to do some elementary statistical thing" or "reference", with little in between. "R in a Nutshell" is the best I've found so far at filling in the gaps that exist in my knowledge.
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