The R book

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).

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Bibliographic Details
Main Author: Crawley, Michael J. autor/a
Format: Texto biblioteca
Language:eng
Published: Chichester, West Sussex, United Kingdom John Wiley & Sons 2013
Subjects:R (Lenguaje de programación para computadora), Estadística matemática, Procesamiento de datos,
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spelling KOHA-OAI-ECOSUR:537772023-03-18T12:26:47ZThe R book Crawley, Michael J. autor/a textChichester, West Sussex, United Kingdom John Wiley & Sons2013engHugely 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).Incluye bibliografía: páginas 971-975 e índice: páginas 977-1051Preface.. 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.. IndexHugely 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).R (Lenguaje de programación para computadora)Estadística matemáticaProcesamiento de datosURN:ISBN:0470973927URN:ISBN:9780470973929
institution ECOSUR
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
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databasecode cat-ecosur
tag biblioteca
region America del Norte
libraryname Sistema de Información Bibliotecario de ECOSUR (SIBE)
language eng
topic R (Lenguaje de programación para computadora)
Estadística matemática
Procesamiento de datos
R (Lenguaje de programación para computadora)
Estadística matemática
Procesamiento de datos
spellingShingle R (Lenguaje de programación para computadora)
Estadística matemática
Procesamiento de datos
R (Lenguaje de programación para computadora)
Estadística matemática
Procesamiento de datos
Crawley, Michael J. autor/a
The R book
description 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).
format Texto
topic_facet R (Lenguaje de programación para computadora)
Estadística matemática
Procesamiento de datos
author Crawley, Michael J. autor/a
author_facet Crawley, Michael J. autor/a
author_sort Crawley, Michael J. autor/a
title The R book
title_short The R book
title_full The R book
title_fullStr The R book
title_full_unstemmed The R book
title_sort r book
publisher Chichester, West Sussex, United Kingdom John Wiley & Sons
publishDate 2013
work_keys_str_mv AT crawleymichaeljautora therbook
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