Data Analysis and Graphics Using R: An Example-based Approach (Cambridge Series in Statistical and Probabilistic Mathematics, Series Number 10) - Hardcover

Maindonald, John; Braun, John

Hardcover

ISBN 10: 0521861160 ISBN 13: 9780521861168

Verlag: Cambridge University Press, 2006

Inhaltsangabe

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.

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Críticas

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

Reseña del editor

Join the revolution ignited by the ground-breaking R system! Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. The many worked examples, taken from real-world research, are accompanied by commentary on what is done and why. A website provides computer code and data sets, allowing readers to reproduce all analyses. Updates and solutions to selected exercises are also available. Assuming only basic statistical knowledge, the book is ideal for research scientists, final-year undergraduate or graduate level students of applied statistics, and practising statisticians. It is both for learning and for reference. This revised edition reflects changes in R since 2003 and has new material on survival analysis, random coefficient models, and the handling of high-dimensional data.

Details zur Ausgabe

• Verlag: Cambridge University Press
• Erscheinungsdatum: 2006
• ISBN 10: 0521861160
• ISBN 13: 9780521861168
• Einband: Tapa dura
• Sprache: Englisch
• Auflage: 2
• Anzahl der Seiten: 528