From reviews of previous edition: "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."
From reviews of previous edition: "The text includes a wealth of practical examples, drawn from a variety of practical applications which should be easily understood by the reader. The methods demonstrated are suitable for use in areas such as biology, social science, medicine and engineering. The core of the book is taken up with detailed discussion of regression methods which leads onto more advanced statistical concepts."
ISI Short Book Reviews
From reviews of previous edition: "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 complements the book's usefulness for a road audience of statisticians and practitioners."
From Previous Edition: "Provide considerable insight into very powerful procedures."
A. Ralph Henderson, Clinical Chemistry
"There are many books published in applied statistics that explain the R language. However, the book under review stands out due to its versatility and because it is easy to follow and understand the context."
Ita Cirovic Donev, The Mathematical Association of America
"...A gentle tour guide for new R users, aiming to help them navigate through many powerful tools that the open source R system offers." Zhaohui Steve Qin, Center for Statistical Genetics, BioInformatics
"The style of the book is a commendable "learn by example" - each of the many statistical techniques is centered on real-world examples. The collective of topics is eclectic and the book also comes with extensive R code."
Carl James Schwarz, Biometrics
Emphasising hands-on analysis, graphical display and interpretation of data, this is a guide to the practical tools that the R system provides. A website provides computer code and data sets, allowing readers to reproduce all analyses. For research scientists, final-year undergraduate or graduate students of applied statistics, and practising statisticians.