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Data Analysis and Graphics Using R
Books: Text Books: Data Structures: Item 3
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Data Analysis and Graphics Using Rby John Maindonald, John Braun, R. Gill, and B. D. Ripley
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4 of 4 people found the following review helpful: limited review..., April 4, 2006 Reviewer:Gene Leynes (Chicago, IL United States) - I found this book to be quite useful for learning R, and for pointing out the pitfalls for new users. It's especially good to know that there is a website associated with the book that will allow you to download the code used in the book. There are several good free R resources out there, but in the end I think you get what you pay for. In this case it was nice to have a hard-bound reference with an index and appendix that I could highlight and dog-ear. I mostly used it as a book for learning R, and not as a stats book. I did notice that there were many good examples of common statistical applications, such as t-stat tests, residual plotting, and the like. In other words, I feel like I got my money's worth by just using a few chapters and the appendix.
Product Review
'The strength of the book is in the extensive examples of practical data analysis with complete examples of the R code necessary to carry out the analyses I would strongly recommend the book to scientists who have already had a regression or a linear models course and who wish to learn to use R I give it a strong recommendation to the scientist or data analyst who wishes to an easy-to-read and an understandable reference on the use of R for practical data analysis.' R News
'This book does an excellent job of describing the basics of a variety of statistical tools, both classical and modern, through examples from a wide variety of disciplines the book's writing style is very readable, with clear explanations and precise introductions of all topics and terminology the book also provides a wealth of examples from various physical and social sciences, engineering, and medicine that have been effectively chosen to illustrate not only the basics of the statistical methods, but also some of the interesting subtleties of the analyses that may require careful interpretation and discussion I believe that they have created a readable book that is rich with clear explanations and illustrative examples of the capability of a diverse set of tools. the packaging of the material with the R language is natural, and the extensive web page of resources complement the book's usefulness for a road audience of statisticians and practitioners.' Biometrics
'This book does an excellent job of describing the basics of a variety of statistical tools, both classical and modern, through examples from a wide variety of disciplines With its focus on ideas and concepts, rather than an extensive formula-based presentation, the book finds a nice balance between discussing statistical concepts and teaching the basics of the freely-available statistical package R a readable book that is rich with clear explanations and illustrative examples of the capability of a diverse set of tools. the packaging of the material with the R language is natural, and the extensive web page of resources complement the book's usefulness for a broad audience of statisticians and practitioners.' journal of the American Statistical Association
Book Description
Using modern statistical software systems requires training both in the software itself and in the underlying statistical methods. Concentrating on the freely available R system, this volume demonstrates recently implemented approaches and methods in statistical analysis. The authors introduce elementary concepts in statistics through examples of real-world data analysis drawn from their experience as teachers and as consultants. R code and data sets for all examples are available on the Internet. This emphasis on practical methodology combined with a tutorial approach makes the book accessible to anyone with a knowledge of undergraduate-level statistics. The methods demonstrated are suitable for use in a wide variety of disciplines, from social sciences to medicine, engineering and science.
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