Data Analysis and Graphics Using R
An Example-Based Approach
3rd Edition
$107.00 (C)
Part of Cambridge Series in Statistical and Probabilistic Mathematics
- Authors:
- John Maindonald, Australian National University, Canberra
- W. John Braun, University of Western Ontario
- Date Published: June 2010
- availability: Available
- format: Hardback
- isbn: 9780521762939
$
107.00
(C)
Hardback
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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 expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.
Read more- Practical, hands-on, example-based approach deals with real-world issues
- Extensive use of graphs for exploration of data and interpretation of analyses
- R code, data sets, updates and exercise solutions, all provided on companion website
Reviews & endorsements
"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."
R NewsSee more reviews"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."
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×Product details
- Edition: 3rd Edition
- Date Published: June 2010
- format: Hardback
- isbn: 9780521762939
- length: 549 pages
- dimensions: 260 x 183 x 30 mm
- weight: 1.3kg
- contains: 150 b/w illus. 12 colour illus. 40 tables
- availability: Available
Table of Contents
Preface
Content - how the chapters fit together
1. A brief introduction to R
2. Styles of data analysis
3. Statistical models
4. A review of inference concepts
5. Regression with a single predictor
6. Multiple linear regression
7. Exploiting the linear model framework
8. Generalized linear models and survival analysis
9. Time series models
10. Multi-level models, and repeated measures
11. Tree-based classification and regression
12. Multivariate data exploration and discrimination
13. Regression on principal component or discriminant scores
14. The R system - additional topics
15. Graphs in R
Epilogue
Index of R symbols and functions
Index of authors.-
Resources for
Data Analysis and Graphics Using R
John Maindonald, W. John Braun
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