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Discovering Statistics Using R, by Andy Field, Jeremy Miles, Zoe Field
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The R version of Andy Field's hugely popular Discovering Statistics Using SPSS takes students on a journey of statistical discovery using the freeware R. Like its sister textbook, Discovering Statistics Using R is written in an irreverent style and follows the same ground-breaking structure and pedagogical approach. The core material is enhanced by a cast of characters to help the reader on their way, hundreds of examples, self-assessment tests to consolidate knowledge, and additional website material for those wanting to learn more.
- Sales Rank: #33433 in Books
- Brand: Brand: SAGE Publications Ltd
- Published on: 2012-04-05
- Original language: English
- Number of items: 1
- Dimensions: 10.00" h x 7.50" w x 1.50" l, 5.20 pounds
- Binding: Paperback
- 992 pages
- Used Book in Good Condition
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 Stewart
Warwick 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." (R. Bharath Choice 2012-12-01)
The 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. (Paul Webb 2013-12-12)
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, his son Zach, his crazy spaniel Ramsey and Fuzzy the cat.
Most helpful customer reviews
53 of 54 people found the following review helpful.
A great introduction to statistics and to R!
By andurion
Being familiar with the author's SPSS book and wanting to learn R, I leapt at the chance to purchase this book. As I write this, I've been able to go through all the chapters save the last two. The book is a great overview of statistics concepts and provides a gentle, yet comprehensive, introduction to the R language. I'm extremely pleased I bought it.
The author's writing style is conversational and humorous, and some of his examples are outrageous (I didn't know whether to laugh or cry during the logistic regression chapter!). I think this would make the material more accessible to students who are ambivalent about statistics and R. However, though the material is presented in an easy-going manner, it is nevertheless quite comprehensive. The essence of each statistical method is discussed thoroughly, and the procedures for doing these tests in R are clearly detailed in a step by step manner.
What I liked most about the book were the problems at the end of each chapter and the detailed solutions to those problems on the book's accompanying website. I found these excellent for self-study.
To be clear, the book is not the most technical treatise on either statistics or R. The book gives a good overview of the concepts of each statistical method, but computation is kept to a minimum. Similarly, while the book describes how to create functions in R and has several challenging examples, you will only scratch the surface of what R can do. It seems intended primarily for non-mathematics undergraduate students who aspire to doing research in their fields. However, for someone like me who wanted a context in which to become familiar with R, it is invaluable.
The main problem I can see with the book was that there were some missing files for some of the end-of-chapter problems. I, personally, didn't think it was all that bad, as the same data was used in the author's SPSS book and I knew where to look for those SPSS files. Search for "field3e spss files" on your internest search engine of choice. However, that's not apparent to someone who doesn't know about the SPSS book, so I can see how it mars the final product somewhat. I'm still willing to give the book 5 stars, though!
In summary, this is a great book if you want a basic, yet very comprehensive, overview of statistics concepts and want to start your journey into R. Again, I'm very pleased I purchased it!
23 of 24 people found the following review helpful.
The Best Introduction to Statistics Available
By nevergivenaname88
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.
32 of 36 people found the following review helpful.
I recommend buy the hardcover
By Ísis da Costa Arantes
The book contents are very good, but the quality of the book is poor. I ordered one paperback and the pages were falling of the book in one month of use. I returned the book and the second book that I have received has the same problem. The page were falling of again. I'm very careful using the book, and it look like new. I believe it happened because of the poor quality.
I recommend buy the hard cover. I'm very frustrated about that. I have attached 2 pics (1st book and the 2nd book).
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