Data Analysis and Graphics Using R - 9780521762939

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practicing statisticians, It is both for learning and for reference.

This third edition takes into account recent changes in R, including advances in graphical user interfaces (GUIs) and graphics packages. The treatments of the random forests methodology and one-way analysis have been extended. Both text and code have been revised throughout, and where possible simplified. New graphs and examples have been added.

"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 give it a strong recommendation to the scientist or data analyst who wishes to find an easy-to-read and an understandable reference on the use of R for practical data analysis." R News

"... 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 broad audience of statisticians and practitioners." Journal of the American Statistical Association

"... a very useful book that can be recommended for applied statisticians and other scientists who want to use R for data analysis, and as a textbook for an applied statistics course using R." Journal of Applied Statistics