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R is a high-level language and an environment for data analysis and graphics. . on the R help pages in writing this book, and I am extremely grateful to all the. 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. The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard.

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The R Book

The R book / Michael J. Crawley. – 2e. pages cm. Includes bibliographical references and index. ISBN (hardback). 1. The R language is recognized as one of the most powerful and flexible statistical software packages, enabling users to apply many statistical techniques that. 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.

Click on the cover image above to read some pages of this book! Hugely successful and popular text presenting an extensiveand comprehensive guide for all R users The R language is recognized as one of the most powerful andflexible statistical software packages, enabling users to applymany statistical techniques that would be impossible without suchsoftware to help implement such large data sets. R has become anessential tool for understanding and carrying out research. This edition: Features full colour text and extensive graphicsthroughout. Introduces a clear structure with numbered section headings tohelp readers locate information more efficiently. Looks at the evolution of R over the past five years. Features a new chapter on Bayesian Analysis andMeta-Analysis. Presents a fully revised and updated bibliography and referencesection. Is supported by an accompanying website allowing examples fromthe text to be run by the user. The breadth oftopics covered is unsurpassed when it comes to texts on dataanalysis in R. Is supported by an accompanying website allowing examples from the text to be run by the user. 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. This edition will sell really well on publication.

The 2nd edition now has those spaces inserted so that the user-typed code is far more readable, particularly for neophytes. In addition, the 2nd edition now uses colors to differentiate the user-typed commands and the R-generated output. The images above do illustrate one continuing gripe I have about The R Book. Many other R books wrap their data sets up into a R package that can be downloaded from CRAN and easily loaded into a R session with the library function.

The R Book asks you to first download all of the files, and then manually type out their location when you want to load them, i. In what should be taken as damning with faint praise, I will give Crawley credit for at least including a link to the location of the example data files in the 2nd edition of the book.

R for Data Science

The files were always available for the 1st edition, the book just failed to mention that fact. The 2nd edition also adds color to many of the figures.

The vast majority of the text in the 2nd edition has remained unchanged from the 1st edition. With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

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The R Book | Wiley Online Books

Start reading. 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. This edition: Features full colour text and extensive graphics throughout.

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: Getting Started 1. Essentials of the R Language 2.

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Testing and coercing in R 2. Data Input 3. Dataframes 4.

Graphics 5. 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:' The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R. And now anybody can get to grips with it thanks to The R Book Getting Started -- 2. Essentials of the R Language -- 3.

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