Data Analysis and Graphics Using R - An Example-Based Approach

Informationen zum Autor John Maindonald is Visiting Fellow at the Mathematical Sciences Institute at the Australian National University. He has collaborated extensively with scientists in a wide range of application areas, from medicine and public health to population genetics, machine learning, economic history, and forensic linguistics. W. John Braun is Professor in the Department of Statistical and Actuarial Sciences at the University of Western Ontario. He has collaborated with biostatisticians, biologists, psychologists, and most recently has become involved with a network of forestry researchers. Klappentext 3rd edition. Hands-on guide for scientists, students and practising statisticians. Zusammenfassung This third edition of the popular guide to using R reflects recent improvements to the R system! including major advances in graphical user interfaces and graphics packages. It emphasizes hands-on analysis! graphical display and interpretation of data. Ideal for researchers! students of applied statistics! and practising statisticians. Inhaltsverzeichnis 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.

Product details

• Authors: W. John Braun, W. John (University of Western Ontario) Braun, Braun W. John, John Maindonald, John (Australian National University Maindonald, Maindonald John
• Publisher: Cambridge University Press Academic
• Languages: English
• Product format: Hardback
• Released: 06.05.2010
• EAN: 9780521762939
• ISBN: 978-0-521-76293-9
• Dimensions: 183 mm x 260 mm x 30 mm
• Series: Cambridge Series in Statistical and Probabilistic Mathematics; Cambridge Series in Statistical and Probabilistic Mathematics; Cambridge Series in Statistica
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing; COMPUTERS / Mathematical & Statistical Software, Mathematical & statistical software, Mathematical and statistical software