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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Format: | Texto biblioteca |
Language: | eng |
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Chichester, West Sussex, United Kingdom John Wiley & Sons
2013
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Subjects: | R (Lenguaje de programación para computadora), Estadística matemática, Procesamiento de datos, |
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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 |
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R (Lenguaje de programación para computadora) Estadística matemática Procesamiento de datos R (Lenguaje de programación para computadora) Estadística matemática Procesamiento de datos |
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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 |
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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 AT crawleymichaeljautora rbook |
_version_ |
1762930766669414400 |