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  • 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. (xsd:string)
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  • 2010 (xsd:gyear)
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  • 2010 (xsd:gyear)
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  • Englisch (EN) (xsd:string)
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  • 9780521762939 ()
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  • Data analysis and graphics using R : an example-based approach (xsd:string)
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  • Buch (de)
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  • book (en)
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  • Cambridge: Cambridge Univ. Press, 2010.- 525 S. (xsd:string)
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