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R in a Nutshell: A Desktop Quick Reference

3.72  ·  Rating details ·  160 Ratings  ·  9 Reviews
Why learn R? Because it's rapidly becoming the standard for developing statistical software. R in a Nutshell provides a quick and practical way to learn this increasingly popular open source language and environment. You'll not only learn how to program in R, but also how to find the right user-contributed R packages for statistical modeling, visualization, and bioinformat ...more
Paperback, 640 pages
Published January 11th 2010 by O'Reilly Media (first published 2009)
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Alex Ott
Oct 30, 2011 rated it really liked it
Shelves: math, own-ebook
Good introduction to R + reference...
Michael Scott
Apr 23, 2016 rated it it was amazing  ·  review of another edition
Shelves: compsci-tech
I picked up this book because (i) I wanted to learn about R for a long time, (ii) I had a visualization project for which I needed a good automated graphing tool, and (iii) I was too sick to do anything else that day. But how to start quickly with addressing goals (i) and (ii)? Luckily for me, after about an hour of Quora- and Google-ing, I bumped into Joseph Adler's book, R in a Nutshell. Overall, and perhaps also due to (iii), the experience with this book was truly excellent, and I would reco ...more
Jan 07, 2013 rated it liked it
Shelves: 2013, technical, r
A good reference for the R language. Adler takes a nuts-and-bolts approach, starting with R's fundamental classes and working up through it's higher level stuff, and wrapping up with how to actually use it (R) to do statistical analysis. (Remember: BYOSK! [1]) I took a cover-to-cover approach with this book at first but found that it served me better when I needed to look up the answer to a "How do I...?"

Side note: I co-read this while I was taking Jeff Leek's Coursera course on Data Analysis. I
Oct 08, 2012 rated it it was ok
Not the clearest O'Reilly book I've read, but it's hard to know if that's the author or R, which is a weird piece of software. Assumes you know a lot of stats/data science already, and uses a lot of real-world data sets/examples. Not designed as a gentle intro.
Mike S
May 12, 2015 rated it it was amazing
Shelves: computers
This is a great introduction to R, but as he says in the book, it is no substitute for a solid foundation in statistics. It inspired me to purchase Statistics Unplugged, which I also highly recommend.
Mar 18, 2011 rated it it was amazing
Brilliant ...
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Jan 07, 2013 rated it really liked it
Shelves: dashboard
Great reference book for learning and using R.
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