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The R book / Michael J. Crawley

Por: Tipo de material: TextoTextoEditor: Chichester, West Sussex, United Kingdom : Distribuidor: Wiley, Fecha de copyright: ©2013Edición: 2a ediciónDescripción: xxi, 1051 páginas : ilustraciones (algunas a color) ; 26 x 19cmTipo de contenido:
  • texto
Tipo de medio:
  • sin medio
Tipo de soporte:
  • volumen
ISBN:
  • 9780470973929 (hardback)
Tema(s): Clasificación LoC:
  • QA 276 .45 .R3 C91 2013
Contenidos:
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
Resumen: "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) " -- Provided by publisher.Resumen: "This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics"-- Provided by publisher.
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Existencias
Tipo de ítem Biblioteca actual Biblioteca de origen Colección Signatura topográfica Copia número Estado Notas Fecha de vencimiento Código de barras Reserva de ítems
Libros para consulta en sala Libros para consulta en sala Biblioteca Antonio Enriquez Savignac Biblioteca Antonio Enriquez Savignac COLECCIÓN RESERVA QA 276 .45 .R3 C91 2013 (Navegar estantería(Abre debajo)) 1 No para préstamo Ingeniería en Datos e Inteligencia Organizacional 041444
Libros Libros Biblioteca Antonio Enriquez Savignac Biblioteca Antonio Enriquez Savignac Colección General QA 276 .45 .R3 C91 2013 (Navegar estantería(Abre debajo)) 2 Disponible Ingeniería en Datos e Inteligencia Organizacional 041445
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Includes bibliographical references and index.

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

"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) " -- Provided by publisher.

"This edition introduces the advantages of the R environment, in a user-friendly format, to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics"-- Provided by publisher.

Ingeniería de Datos e Intelegiencia

NUEVOSDATOS

  • Universidad del Caribe
  • Con tecnología Koha