Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates.
Table of Contents
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
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