Beginning R: The Statistical Programming Language (Wrox Programmer to Programmer) Paperback – 1 Jun 2012
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From the Back Cover
Gain better insight into your data using the power of R
While R is very flexible and powerful, it is unlike most of thecomputer programs you have used. In order to unlock its fullpotential, this book delves into the language, making it accessibleso you can tackle even the most complex of data analysis tasks.Simple data examples are integrated throughout so you can explorethe capabilities and versatility of R. Along the way, you'll alsolearn how to carry out a range of commonly used statisticalmethods, including Analysis of Variance and Linear Regression. Bythe end, you'll be able to effectively and efficiently analyze yourdata and present the results.
Discusses how to implement some basic statistical methods suchas the t-test, correlation, and tests of association
Explains how to turn your graphs from merely adequate to simplystunning
Provides you with the ability to define complex analyticalsituations
Demonstrates ways to make and rearrange your data for easieranalysis
Covers how to carry out basic regression as well as complexmodel building and curvilinear regression
Shows how to produce customized functions and simple scriptsthat can automate your workflow
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Visit the Beginning R website at www.wrox.com/go/beginningr
About the Author
Dr. Mark Gardener is an ecologist, lecturer, and writer working in the UK. He is currently self-employed and runs courses in ecology, data analysis, and R for a variety of organizations.
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I have some prior knowledge of R, however, I developed in a rather "patchy" way learning from various sources and I find that this book is a great way to go through the basics in a structured way. I really wish this book was available two years ago, when I was just starting with R, it would have saved me a lot of time!
As for the book itself, it really starts you off from the very beginning. Installation and running R are covered in great detail for all Windows, Mac and Linux. On using R the explanations and the examples are very clear and easy to follow. I think for anyone who wants to learn R, it would be sufficient to just follow a one-two hour course with an instructor for a first-time exposure to the program and then this book would be all you need!
And last but not least, the price is a real bargain, especially compared to what a formal course of R would cost you at a university or online.
Most helpful customer reviews on Amazon.com
The author covers how to use R to conduct statistical analyses that would be covered in a basic or advanced undergraduate statistics class. As noted in another review, the focus is on how to conduct an analysis (e.g., t-test), not why a t-test would be appropriate.
The book would be a great companion to a statistics book such as Howell's Statistical Methods for Psychology. Students who are enrolled in a statistics class or have had a statistics class and want to learn R may benefit the most from the book. The practice problems with solutions make it quite useful for self-teaching.