Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis.
Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scientists in the analysis of their own data, demonstrating how to check the underlying assumptions, and gives students in statistical theory exposure to practical data analysis.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
John H. Maindonald is Contract Associate at Statistics Research Associates and was previously Visiting Fellow at the Australian National University. He has had wide experience both as a university lecturer and as a quantitative problem solver, working with researchers in diverse areas. He is the author of 'Statistical Computation' (1984), and the senior author of 'Data Analysis and Graphics Using R' (third edition, 2010).
Inhaltsangabe
1. Learning from data, and tools for the task 2. Generalizing from models 3. Multiple linear regression 4. Exploiting the linear model framework 5. Generalized linear models and survival analysis 6. Time series models 7. Multilevel models, and repeated measures 8. Tree-based classification and regression 9. Multivariate data exploration and discrimination Epilogue A. The R system - a brief overview References References to R packages Index of R functions Subject index.
1. Learning from data, and tools for the task 2. Generalizing from models 3. Multiple linear regression 4. Exploiting the linear model framework 5. Generalized linear models and survival analysis 6. Time series models 7. Multilevel models, and repeated measures 8. Tree-based classification and regression 9. Multivariate data exploration and discrimination Epilogue A. The R system - a brief overview References References to R packages Index of R functions Subject index.
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