Inhaltsangabe
1 Introduction.- 2 The S Language.- 3 Graphical Output.- 4 Programming in S.- 5 Distributions and Data Summaries.- 6 Linear Statistical Models.- 7 Generalized Linear Models.- 8 Robust Statistics.- 9 Non-linear Models.- 10 Random and Mixed Effects.- 11 Modern Regression.- 12 Survival Analysis.- 13 Multivariate Analysis.- 14 Tree-based Methods.- 15 Time Series.- 16 Spatial Statistics.- 17 Classification.- Appendices.- A Datasets and Software.- A.1 Libraries.- A.2 Caveat.- B Common S-PLUS Functions.- C Using S-PLUS Libraries.- C.1 Sources of libraries.- C.2 Creating a library section.- References.
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