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Data Analysis and Graphics Using R John Maindonald (Australian National University, Canberra)

Data Analysis and Graphics Using R By John Maindonald (Australian National University, Canberra)

Summary

Extensive examples illustrate the use of R, a statistical computing environment, and the modern statistical methods that can be used with it. Starting with elementary concepts, the authors proceed to introduce advanced topics of use to researchers or students in medicine, science, engineering and the social sciences. R code and data sets for all examples will be available on the Web.

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Data Analysis and Graphics Using R Summary

Data Analysis and Graphics Using R: An Example-based Approach by John Maindonald (Australian National University, Canberra)

Modern statistical software systems provide sophisticated tools for researchers who need to manipulate and display their data. Using such systems requires training both in the software itself and in the statistical methods that it relies on. Concentrating on the freely available R system, this book demonstrates recently implemented approaches and methods in statistical analysis. The authors introduce elementary concepts in statistics through examples of real-world data analysis drawn from the authors' experience, both as teachers and as consultants. R code and data sets for all examples are available on the Internet. This emphasis on practical methodology combined with a tutorial approach makes the book accessible to anyone with a knowledge of undergraduate statistics, whether an upper-graduate student, a researcher, or a practising scientist or statistician. The methods demonstrated are suitable for use in a wide variety of disciplines, from social sciences to medicine, engineering and science.

Data Analysis and Graphics Using R Reviews

'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 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 have an easy-to-read and an understandable reference on the use of R for practical data analysis.' R News
'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 page of resources complement the book's usefulness for a road audience of statisticians and practitioners.' Biometrics
'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 page of resources complement the book's usefulness for a broad audience of statisticians and practitioners.' Journal of the American Statistical Association
'... includes a wealth of practical examples, drawn from a variety of practical applications which should be easily understood by the reader.' Publication of the International Statistical Institute
"The text includes a wealth of practical examples, drawn from a variety of practical applications which should be easily understood by the reader. The methods demonstrated are suitable for use in areas such as biology, social science, medicine and engineering. The core of the book is taken up with detailed discussion of regression methods which leads onto more advanced statistical concepts." ISI Short Book Reviews
"I would strongly recommend the book to scientists who have already had a regression or a linear models course who wish to learn to use R." R News
"There is a comprehensive introduction, a very useful chapter-by-chapter summary, and 12 chapters, supported by an appendix listing S-plus differences, references, indices of R symbols, functions, and terms." Clinical Chemistry
"... An excellent intermediate-level text highly relevant to the BI world and suitable for readers with little more than an intro to stats background... Maindonald and Braun's exposition of the R language is nonetheless first rate." Steve Miller, DM Review Online
"The book remains an excellent summary of R tools and its presented in a readable and clear manner that balances how-to with interpretation of the results obtained. This is an excellent reference book to have on your bookshelf, and would also be a good book from which to teach a course." Christine M. Anderson-Cook, Los Alamos National Laboratory

Table of Contents

Introduction; 1. A brief introduction to R; 2. Styles of data analysis; 3. Statistical models; 4. Introduction to formal inference; 5. Regression with a single predictor; 6. Multiple linear regression; 7. Exploiting the linear model framework; 8. Logistic regression and other generalised linear models; 9. Multi-level models, time series and repeated measures; 10. Tree-based classification and regression; 11. Multivariate data exploration and discrimination; 12. The R system - additional topics; 13. Epilogue - models; Appendix: S-plus differences; Bibliography; Acknowledgements; Index.

Additional information

CIN0521813360VG
9780521813365
0521813360
Data Analysis and Graphics Using R: An Example-based Approach by John Maindonald (Australian National University, Canberra)
Used - Very Good
Hardback
Cambridge University Press
2003-08-04
386
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us

Customer Reviews - Data Analysis and Graphics Using R