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: 0521813360 ISBN 13: 9780521813365

Verlag: Cambridge University Press, 2003

Inhaltsangabe

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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Críticas

'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

Reseña del editor

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.

Details zur Ausgabe

• Verlag: Cambridge University Press
• Erscheinungsdatum: 2003
• ISBN 10: 0521813360
• ISBN 13: 9780521813365
• Einband: Tapa dura
• Sprache: Englisch
• Anzahl der Seiten: 386