Useful examples are presented to assist understanding.
Everitt and Hothorn have written an excellent tutorial on using R to analyze data using a wide range of standard statistical methods. They use numerous examples throughout the text, present 100 figures, and show 54 tables to augment discussion. All this is done in a book of only 275 pages in length. I highly recommend the text for anyone learning R, and who want to use it for the sophisticated analysis of data.
-Joseph M. Hilbe, Emeritus Professor, University of Hawaii and Adjunct Professor, Sociology and Statistics, Arizona State University, Journal of Statistical Software, Vol. 16, August 2006
The book is clearly meant to help a true beginner get started with the R package. It begins appropriately with a chapter presenting a description of R and installation instructions, the help (simple help) and vignette (detailed help) commands, and other available documentation. This chapter also discusses basic data handling techniques and methods for summarizing data. The remainder of the book consists of 14 chapters, each of which describes a different type of analysis.
The chapters are generally well laid out and easy to understand. The book covers ANOVA/MANOVA, several forms of regression, an assortment of multivariate analyses, and various other forms of statistical analysis.
For the experienced analyst wanting to learn R, this book is a useful, compact introduction.
This book, using analyses of real sets of data, takes the reader through many of the standard forms of statistical methodology using R.
a very valuable reference.
The book is particularly good at highlighting the graphical capabilities of the language.
-P. Marriott (University of Waterloo, Canada), Short Book Reviews