The R book / Michael J. Crawley
Tipo de material:
TextoEditor: 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
- sin medio
- volumen
- 9780470973929 (hardback)
- QA 276 .45 .R3 C91 2013
| Tipo de ítem | Biblioteca actual | Biblioteca de origen | Colección | Signatura topográfica | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras | Reserva de ítems | |
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Libros para consulta en sala
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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
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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 |
Navegando Biblioteca Antonio Enriquez Savignac estanterías, Colección: Colección General Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
| QA 157 A9718 Algebra moderna / | QA 273 R47 A probability path / | QA 276 W3218 2010 Estadística matemática con aplicaciones / | QA 276 .45 .R3 C91 2013 The R book / | QA 276 .45 .R3 D14 2008 Introductory statistics with R / | QA 278 A5322 1999 Análisis multivariante / | QA 278 A5322 1999 Análisis multivariante / |
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
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