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Data analysis and graphics using R an example - based approach John Maindonald and W. John Braun

Por: Colaborador(es): Tipo de material: TextoTextoIdioma: Inglés Series Detalles de publicación: Cambridge, UK Cambridge University Press 2010Edición: Third editionDescripción: xxvi, 525 páginas ilustraciones 26 centímetrosISBN:
  • 9780521762939
Tema(s): Clasificación CDD:
  • 519.50285 M3
Contenidos parciales:
Preface.. Content - how the chapters fit together.. 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
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Incluye bibliografía: páginas 495-506 e índice: páginas 507-525

Preface.. Content - how the chapters fit together.. 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