Overview

Full Product Details

9780511790935

Table of Contents

Reviews

.. .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

From reviews of previous edition: '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 ... an easy-to-read and an understandable reference on the use of R for practical data analysis.' R News 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 pages of resources complement the book's usefulness for a road audience of statisticians and practitioners.' Biometrics 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 ... 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 pages of resources complement 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 applies statisticians and other scientists that want to use R for data analysis, and as a textbook for an applied statistics course using R.' Journal of Applied Statistics '... an excellent intermediate-level text ... Though a bit more terse than Dalgaard's Introductory Statistics with R, Maindonald and Braun's exposition of the R language is nonetheless first rate.' Steve Miller, DM Review Online

Author Information

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available