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"Hugely successful and popular text presenting an extensive and comprehensive guide for all R users The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that would be impossible without such soft...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Crawley, Michael J.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Chichester, West Sussex, UK : Wiley, 2013.
Edición:Second edition.
Temas:
R (Computer program language)
Mathematical statistics > Data processing.
R (Langage de programmation)
Statistique mathématique > Informatique.
MATHEMATICS > Probability & Statistics > General.
Datorprogram.
Matematisk statistik.
Databehandling.
R (programspråk)
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Preface
  • 1. Getting Started
  • 2. Essentials of the R Language
  • 3. Data Input
  • 4. Dataframes
  • 5. Graphics
  • 6 Tables
  • 7. Mathematics
  • 8. Classical Tests
  • 9. Statistical Modelling
  • 10. Regression
  • 11. Analysis of Variance
  • 12. Analysis of Covariance
  • 13. Generalized Linear Models
  • 14. Count Data
  • 15. Count Data in Tables
  • 16. Proportion Data
  • 17. Binary Response Variables
  • 18. Generalized Additive Models
  • 19. Mixed-Effects Models
  • 20. Non-linear Regression
  • 21. Meta-analysis
  • 22. Bayesian statistics
  • 23. Tree Models
  • 24. Time Series Analysis
  • 25. Multivariate Statistics
  • 26. Spatial Statistics
  • 27. Survival Analysis
  • 28. Simulation Models
  • 29. Changing the Look of Graphics.

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