Название: An R Companion to Applied Regression, Third Edition Автор: John Fox, Sanford Weisberg Издательство: SAGE Publications, Inc Год: 2018 Язык: английский Формат: epub Размер: 59.8 MB
An R Companion to Applied Regression is a broad introduction to the R statistical computing environment in the context of applied regression analysis. John Fox and Sanford Weisberg provide a step-by-step guide to using the free statistical software R, an emphasis on integrating statistical computing in R with the practice of data analysis, coverage of generalized linear models, and substantial web-based support materials. The Third Edition includes a new chapter on mixed-effects models, new and updated data sets, and a de-emphasis on statistical programming, while retaining a general introduction to basic R programming. The authors have substantially updated both the car and effects packages for R for this new edition, and include coverage of RStudio and R Markdown.
Publisher Note Preface About the Authors 1 Getting Started With R and RStudio 2 Reading and Manipulating Data 3 Exploring and Transforming Data 4 Fitting Linear Models 5 Coefficient Standard Errors, Confidence Intervals, and Hypothesis Tests 6 Fitting Generalized Linear Models 7 Fitting Mixed-Effects Models 8 Regression Diagnostics for Linear, Generalized Linear, and Mixed-Effects Models 9 Drawing Graphs 10 An Introduction to R Programming References Subject Index Data Set Index
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