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Discovering Statistics Using R
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Review
In statistics, R is the way of the future. The big boys and girls have known this for some time: There are now millions of R users in academia and industry. R is free (as in no cost) and free (as in speech). Andy, Jeremy, and Zoe′s book now makes R accessible to the little boys and girls like me and my students. Soon all classes in statistics will be taught in R. I have been teaching R to psychologists for several years and so I have been waiting for this book for some time. The book is excellent, and it is now the course text for all my statistics classes. I′m pretty sure the book provides all you need to go from statistical novice to working researcher. Take, for example, the chapter on t-tests. The chapter explains how to compare the means of two groups from scratch. It explains the logic behind the tests, it explains how to do the tests in R with a complete worked example, which papers to read in the unlikely event you do need to go further, and it explains what you need to write in your practical report or paper. But it also goes further, and explains how t-tests and regression are related---and are really the same thing---as part of the general linear model. So this book offers not just the step-by-step guidance needed to complete a particular test, but it also offers the chance to reach the zen state of total statistical understanding. Prof. Neil StewartWarwick University Field′s Discovering Statistics is popular with students for making a sometimes deemed inaccessible topic accessible, in a fun way. In Discovering Statistics Using R, the authors have managed to do this using a statistics package that is known to be powerful, but sometimes deemed just as inaccessible to the uninitiated, all the while staying true to Field′s off-kilter approach. Dr Marcel van Egmond University of Amsterdam Probably the wittiest and most amusing of the lot (no, really), this book takes yet another approach: it is 958 pages of R-based stats wisdom (plus online accoutrements)... A thoroughly engaging, expansive, thoughtful and complete guide to modern statistics. Self-deprecating stories lighten the tone, and the undergrad-orientated ′stupid faces′ (Brian Haemorrhage, Jane Superbrain, Oliver Twisted, etc.) soon stop feeling like a gimmick, and help to break up the text with useful snippets of stats wisdom. It is very mch a student textbook but it is brilliant... Field et al. is the complete package.David M. Shuker AnimJournal of Animal Behaviour "This work should be in the library of every institution where statistics is taught. It contains much more content than what is required for a beginning or advanced undergraduate course, but instructors for such courses would do well to consider this book; it is priced comparably to books which contain only basic material, and students who are fascinated by the subject may find the additional material a real bonus. The book would also be very good for self-study. Overall, an excellent resource." Author: R. Bharath Source: Choice Published On: 2012-12-01The main strength of this book is that it presents a lot of information in an accessible, engaging and irreverent way. The style is informal with interesting excursions into the history of statistics and psychology. There is reference to research papers which illustrate the methods explained, and are also very entertaining. The authors manage to pull off the Herculean task of teaching statistics through the medium of R... All in all, an invaluable resource. Author: Paul Webb Published On: 2013-12-12
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About the Author
Andy Field is Professor of Child Psychopathology at the University of Sussex. He has published over 80 research papers, 29 book chapters, and 17 books mostly on child emotional development and statistics. He is the founding editor of the Journal of Experimental Psychopathology and has been an associate editor and editorial board member for the British Journal of Mathematical and Statistical Psychology, Cognition and Emotion, Clinical Child and Family Psychology Review and Research Synthesis Methods. His ability to make statistics accessible and fun has been recognized with local and national teaching awards (University of Sussex, 2001, 2015, 2016; the British Psychological Society, 2007), a prestigious UK National Teaching Fellowship (2010), and the British Psychological Society book award (2006). He adores cats (and dogs), and loves to listen to and play very heavy music. He lives in Brighton with his wonderful wife Zoë and their children.
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Product details
Paperback: 992 pages
Publisher: SAGE Publications Ltd; 1 edition (April 5, 2012)
Language: English
ISBN-10: 1446200469
ISBN-13: 978-1446200469
Product Dimensions:
7.5 x 1.5 x 10 inches
Shipping Weight: 5.1 pounds (View shipping rates and policies)
Average Customer Review:
4.3 out of 5 stars
92 customer reviews
Amazon Best Sellers Rank:
#105,108 in Books (See Top 100 in Books)
Andy Field simply has a way with making a scary subject- statistics (dare I say it) fun.This book is an excellent step-by-step guide that a beginner will feel comfortable with, but also serves as a great reference for someone like me, who has a background in stats. More importantly, it shows how to perform various statistical analyses using R - which is a great & highly in demand skill. When you buy this book, you have access to example data sets and supplemental material - it's as if Andy is there to help you along the way. If you are freaked out about learning stats, or feel like you don't understand the theory behind how the tests work and when you should perform certain ones, then this book is you.Admittedly, I'm a nerd, so the fact that I actually do enjoy reading the chapters and working the examples might be biased. It's possible that the general population might disagree with me. I do, however, think that Andy's sense of humor and clear examples, rather than my own nerdiness, explains more unique variance in predicting why I so highly recommend this book. Even if you're dreading learning stats, I think this book will show you how much fun it can be- or at least that you don't have to be a math wiz to get the basic concepts. Five stars all the way!
I purchased this book in order to answer some stats questions surrounding my research because I've nearly forgotten all of what I learned from the one undergrad stats course I took yeas ago. Having worked through several chapters of the book, I was inclined to write a review for several reasons:1) it's a great value - it begins with very basic stats and goes through mixed model analysis. Given it costs about $80 new, this is an exceptional value in terms of breadth of content.2) it's taught in the context of R - IMO, statistics ought to be taught in the context of how one will actually carry out the modeling calculations; it is done this way throughout the book.3) the binding is nice and the online material is easily accessible.4) Andy does a good job with introducing the (sometimes quirky) nature of R.5) While the depth of content may be too shallow for complicated problems (it's not a theory book by any means), this is made up for by the inclusion of "further reading" at the end of each chapter where Andy lists and explains why each resource was selected and what he believes it best explains. I used this when diving into mixed model repeated measure ANOVAs.
As introductory textbook to classical/frequentist statistics, this book could be useful, especially for readers who desire lengthy explanatory vignettes and are unwilling to invest the effort to learn programming. Still, I do not recommend this book for most. Despite the title, it does not effectively teach the R language. I believe it is a mistake to learn statistics without simultaneously developing programming skills, and the author's use of R is rudimentary at best. Your favorite spreadsheet program or point-and-click stats software can crunch T tests just as well as R, and so the programming novice who reads this book may well ask why they should be pulling out their hair struggling to make code work in R, when the examples in the book would work just as easily in Excel or SPSS.I purchased this book as well as The Book of R: A First Course in Programming and Statistics, and highly recommend the latter. With the Davies book I was able to acquire a basic competency in R code, and then learn statistics using my newfound programming knowledge. Many of the examples and exercises utilize R programming to solve problems that are impractical/impossible with commercial statistical software.Pros:- Good explanations of fundamental topics like ANOVA- Examples that address the common dilemma of which particular test or model to use- Lots of examples/vignettes to frame each chapter and give context- Quirky, personal writing style may appeal to someCons:- Pages started falling out literally the first time I opened the brand-new book- Verbose; almost every page is riddled with irrelevant personal anecdotes- Writing is often bizarrely risqué; seems every chapter has multiple references to male sexual function- Not a good introduction to R programming (see above)
Andy Field writes some of the most intuitive and entertaining accounts of statistics available, and this book is no exception to that standard. This book is geared towards those who want to start from the beginning and progress through a complete account of the most common methods in statistics based on the general linear model. If you are a beginner, this is one of the best places to start. If you are experienced, this book is a great reference to have around.The most enjoyable aspect of this book, aside from its humor, is that Field addresses issues of using robust statical methods when assumptions are not met in the data. Instead of glossing over the issues, Field provides the most recent findings in the field and even examples of how to run robust tests in R. However, note if you want to do something very complicated with robust methods, this book is not a cure all, and you would be hard pressed to find one that is.With regards to R, this book will get you up and running with R even if you have no previous experience with R or programming languages in general. However, a few of the R libraries have changed since this edition's publication, so you will need to search a bit to fix a few errors, but it's not hard and is good practice.Finally, I must mention that Andy Field has gone out of his way to provide datasets and examples like no other author I have encountered. The book has a companion website full of these datasets and all of the R scripts used in the book. Additionally, the companion website is packed full of extra material for each chapter in the book. Finally, Field has several videos posted to the website which includes a lecture series on statistics.
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