R in Action

by Robert Kabacoff

Summary

R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.
About the Technology
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
About the Book
R in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually.

Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book.
What's Inside
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Genres: Programming, Computer Science, Reference, Science, Computers, Technical, Software

472 pages, Paperback

First published August 24, 2011

Reviews

[Manny · Rating 3 out of 5]

[Mark · Rating 5 out of 5]

I may not have every R book, but I definitely have too many of them. This may be my favorite. It is not all inclusive, but the author covers many things not covered elsewhere and he has a personable and practical voice. I especially like his reminders about the underlying statistics and his frequent "how I do it" mention of the functions that he prefers from various packages. I had been looking for some of these functions for a long time. He has great sections on regression diagnostics, on ANOVA, general linear models, power analysis and missing values. Also-I like the guy on the cover.

[Matija · Rating 5 out of 5]

An excellent introduction (from a software developer's point of view) to the dizzying world of the quirky yet immensely powerful, arcane, rich and oh so inconsistent environment that is R. Clearly written, well motivated by simple examples and lightly colorized with Mr. Kabacoff's unpretentious sense of humor, it makes an enjoyable read on a subject traditionally regarded as boring. Almost no chapter provides enough information to make you an expert in a certain area, but almost all provide enough to enable you to achieve something tangible, and references to relevant reading material are consistently sprinkled throughout the text. If, like me, you lack deeper knowledge of statistical methods, you might find those chapters hard to follow, as only very brief statistical refreshes are provided. Still, I believe that, if and when confronted with a real problem, chances are high this book would provide numerous pointers to high quality source material. Highly recommended as a good basis for further learning and exploration, as well as a companion during initial delvings into R.

[Colin Jones · Rating 4 out of 5]

I don't know that I'd recommend this for someone without a statistics background (like me). Most of it assumes knowledge I don't have - a good reminder of how much about stats there is to know.

Nevertheless, it was well-written with lots of in-depth use cases, much more detail than the cursory level covered by the Coursera R class I did at the same time.

[Vector Shaw · Rating 5 out of 5]

This book is so fantastic!I have never thought that a programming book which can meet up to the high level.And R is so charmful which attracts me over those 7 days. However, R in Action deserves me to reread it again and again. I firmly believe that it helps me to achieve my great data mining dream! Fighting!

[Sam · Rating 3 out of 5]

Great beginner book for learning the R statistical computing program. This book is especially useful for those using R for psychological/behavioral research.

[Maged M. · Rating 4 out of 5]

Very clear and documented examples

[Mike Harris · Rating 4 out of 5]

Finally a book on R was goes into the details of statistical modeling and methods. The text and examples flow nicely and progress at an easy to follow place. Each chapter ends with a summary which highlights where to go if one wants to go deeper into the content of the chapter. This would be my recommendation for any one who wants to learn statistics using R.

[Jerrie · Rating 5 out of 5]

Great resource!! I loved how easy it was to digest the information. It is currently one of my go-to references for R. Provides a great overview of the basics of how to use R, create graphs and conduct statistical analysis.

[Muthumini Bandara Rathnathilaka · Rating 4 out of 5]

Some beginning experience with R would be perfect to start reading this book.

[Anna · Rating 5 out of 5]

A vital reference during my PhD.

[John Ayers · Rating 5 out of 5]

I learned so much from this book.It explains statistics succinctly And gives Many examples of how to analyze data using R.For me it is now an essential reference.

[Clara · Rating 3 out of 5]

Good textbook explaning how to use R for for data science / statistics applications, but presupposes statistics knowledge and as a non-statistician I got a bit lost in the later chapters.

[Faezeh Ghaffari · Rating 5 out of 5]

This book certainly is one of the best book for learning programming R because it is very complete and comprehensive. Everyone can enjoy it.

[Rachel · Rating 5 out of 5]

I have more to read in this book but I'm done reading it every week for class. This will continue to be a reference as I learn R.

[Arthur · Rating 5 out of 5]

This is the book I will recommend to those who start one's endeavour in R.
Very comprehensive, with a lot of extra literature and reference. Filled with high quality examples, accurate (with a few small errors, see errata in advance).
The author writes in a very tasteful manner. This makes the reader bonded with the author, become its follower. I think very few books posses this qualification. This one is an investment. Most aspects of the data extraction, manipulation and presentation are covered.
Perhaps one book to rule many.

[Raconteur · Rating 3 out of 5]

Great examples, good to work through, but you need to install R studio to easier write the example provided.

[Bobu · Rating 3 out of 5]

Good overview on the possibilities of R.

[Kari Ross]

My favorite book on R Programming and Statistics

[Benoit · Rating 4 out of 5]

Great reference book to get you started with R. Will not teach you the basics of statistics and/or machine learning though.

[Frank Palardy · Rating 4 out of 5]

R is mostly simple but this goes into more.

[William · Rating 4 out of 5]

Definitely more of a reference for all things statistical in R, but still very good.

[Moustafa · Rating 5 out of 5]

Excellent book .. I wish I could give it more than 5 stars..

[JP · Rating 3 out of 5]

As an initial introduction into R, this book was useful but would probably not be my first choice. There are so many approaches to introducing a computer language, and that's helpful because so many knowledge workers have varying learning styles and past experiences to draw upon. What I liked about this book was that it covered the right balance, for me, between the R language and R for analytics. I also like that the author pointed out parts of the language and syntax that an experienced programmer would want to know. The hard part about an R book is that the packages are evolving so quickly. Kabacoff introduces several root packages and concepts that, while useful, can arguably be skipped and replaced with more powerful and popular choices.

[Albert M]

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