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The R book /

The R language is recognised as one of the most powerful and flexible statistical software packages, and it enables the user to apply many statistical techniques that would be impossible without such software to help implement such large data sets.

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Autor principal:	Crawley, Michael J.
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Chichester, England ; Hoboken, N.J. : Wiley, [2007]
Temas:	R (Computer program language) Mathematical statistics > Data processing. Programming languages (Electronic computers) Programming Languages Mathematical Computing R (Langage de programmation) Statistique mathématique > Informatique. Langages de programmation. MATHEMATICS > Probability & Statistics > General. Mathematical statistics > Data processing Wiskundige methoden. Statistische methoden. statistische analyse Toegepaste statistiek Statistiek (algemeen) Applied Statistics Statistics (General) statistics statistiek mathematical models wiskundige modellen programming programmeren reference works naslagwerken computer software computer graphics computergrafie data analysis gegevensanalyse statistical analysis
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. Tree models
22. Time series analysis
23. Multivariate statistics
24. Spatial statistics
25. Survival analysis
26. Simulation models
27. Changing the look of graphics
References and further reading
Index.

The R book /

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