As one of the most powerful and flexible statistical software packages, R is fast becoming the universal language in which to obtain and present results. The second edition of a bestselling guide, this user-friendly book explains the advantages of the R environment to beginners and intermediate users in a range of disciplines, from science and engineering to medicine and economics. The new edition is thoroughly revised to address the evolution of R over the past five years, featuring links to other languages, a new chapter on Bayesian Analysis, as well as practical guidance and numerous worked examples throughout.
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)
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)
"I consider this a must-read book for its content, writing, and organization." (Computing Reviews, 7 August 2014)
"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." (Zentralblatt Math, 1 August 2013)
"Overall, The R Book (Second Edition) is a great guide to the vastly powerful and constantly evolving software that is R. It is very close to a complete reference-the coverage is excellent. For most users of R, having this book as guide will make life with R much easier, and learning to master it much faster." (Nekkidblogger.com, 30 April 2013) "It is a classic that does not just sell to students during term time but has a much wider appeal ... This edition will sell really well on publication." (The Bookseller, 16 December 2011)
"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." (Zentralblatt Math, 1 August 2013)
"Overall, The R Book (Second Edition) is a great guide to the vastly powerful and constantly evolving software that is R. It is very close to a complete reference-the coverage is excellent. For most users of R, having this book as guide will make life with R much easier, and learning to master it much faster." (Nekkidblogger.com, 30 April 2013) "It is a classic that does not just sell to students during term time but has a much wider appeal ... This edition will sell really well on publication." (The Bookseller, 16 December 2011)