Vista normal Vista MARC

The R book / Michael J. Crawley

Por: Crawley, Michael J [autor/a].
Tipo de material: Libro impreso(a) Libro impreso(a) Editor: Chichester, West Sussex, United Kingdom: John Wiley & Sons, 2013Edición: Second edition.Descripción: xxiv, 1051 páginas ; 25 centímetros.ISBN: 0470973927; 9780470973929.Tema(s): R (Lenguaje de programación para computadora) | Estadística matemática | Procesamiento de datosClasificación: 519.50285 / C7 / 2013 Nota de bibliografía: Incluye bibliografía: páginas 971-975 e índice: páginas 977-1051 Número de sistema: 53777Contenidos:Mostrar Resumen:
Inglés

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 software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: '
.if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.' ( The American Statistician , August 2008) 'The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book
.' ( Professional Pensions, July 2007).
Etiquetas de esta biblioteca: No hay etiquetas de esta biblioteca para este título. Ingresar para agregar etiquetas.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Estado Fecha de vencimiento Código de barras
Libros Biblioteca Chetumal

Texto en configuración de biblioteca Chetumal

Acervo General (AG) 		Acervo General 519.50285 C7/2013 Disponible ECO030008174
Libros Biblioteca Villahermosa

Texto en la configuración de la biblioteca Villahermosa

Acervo General (AG) 		Acervo General 519.50285 C7/2013 Disponible ECO050006024

Incluye bibliografía: páginas 971-975 e índice: páginas 977-1051

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.. 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.. References and Further Reading.. Index

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 software to help implement such large data sets. R has become an essential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphics throughout. Introduces a clear structure with numbered section headings to help readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis and Meta-Analysis. Presents a fully revised and updated bibliography and reference section. Is supported by an accompanying website allowing examples from the text to be run by the user. Praise for the first edition: '...if you are an R user or wannabe R user, this text is the one that should be on your shelf. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.' ( The American Statistician , August 2008) 'The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to The R Book...' ( Professional Pensions, July 2007). eng

Con tecnología Koha