R in a Nutshell (In a Nutshell (O'Reilly)) Paperback – 14 Jan 2010
Customers who bought this item also bought
What other items do customers buy after viewing this item?
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Would you like to tell us about a lower price?
If you are a seller for this product, would you like to suggest updates through seller support?
A Desktop Quick Reference
About the Author
Joseph Adler has many years of experience in data mining and data analysis at companies including DoubleClick, American Express, and VeriSign. He graduated from MIT with an Sc.B and M.Eng in Computer Science and Electrical Engineering from MIT. He is the inventor of several patents for computer security and cryptography, and the author of Baseball Hacks. Currently, he is a senior data scientist at LinkedIn.
Top customer reviews
You will find few minor shifts here, some chapters were moved and some of them were split or merged. However, the content remained quality remained at the same level. Book covers most recent release of R (at least when it comes to Mac OS, I can't tell for the other systems). There are few new things I have learned. RStudio and ggplot2 are among them. As I said, I don't follow all the recent news in the "R world" thus, reading about these two was a big surprise for me and big plus for my simple tasks done with R.
I would recommend this book for R newbies. If you have never ever worked with R but looking to start your journey with it this is a good start. Contrary, if you have already done some stuff with R and you are looking for straightforward solutions I'd suggest heading towards R Cookbook. Anyway, I think this book is a really decent introduction to R.
Unfortunately the book's organisation both at the level of ideas and of navigation leaves it sorely lacking as both a tutorial and as a reference.
Coverage of the language is patchy and the index makes finding even those subjects that are covered in the text difficult.
The structure is slightly contrived with the topics forced into a "Problem - Solution - Discussion" treatment but the cross-referencing is well done and examples are given which are easy to transfer into R.
There are lots of topics presented here that I have found quite difficult to get by searching the help archives (including a good guide to finding help) but particularly in data transformation and applying functions.
Would you like to see more reviews about this item?
Look for similar items by category