The r book 2nd edition

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    Second Edition. Michael J. Crawley. Imperial College London at Silwood Park, UK ondieslinfuncton.cf (Zentralblatt Math, 1 August ). “Overall, The R Book (Second Edition) is a great guide to the vastly powerful and constantly evolving software that is R. It is. 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.

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    The R Book 2nd Edition

    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. 1 Getting Started. 1. 2 Essentials of the R Language. 9. 3 Data Input. 4 Dataframes. 5 Graphics. 6 Tables. 7 Mathematics. 8 Classical . Request PDF on ResearchGate | On Apr 1, , Fabrizio Durante and others published The R Book, Second Edition by Michael J. Crawley.

    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: ' 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

    This is important, since the book is meant as an accessible reference for non-statisticians to many of the powerful data manipulation and statistical techniques available in R, particularly for biologists and researchers in similar fields.

    The R Book, 2nd Edition

    Up to now, the only way to make the 1st edition marginally useful was to seek out one of the pdf versions floating around the nether regions of the web so that you could use the search function to find content. Now that Wiley and Sons has presumably fired the original editor and layout people responsible for the 1st edition due to their massive incompetence, the 2nd edition allows The R Book to actually achieve that goal of being a handy reference.

    It might finally be one of the first books you pluck off your shelf when you need to figure out how to do something with R. A major challenge with the first edition of The R Book was finding the section you needed.

    The 1st edition had a table of contents that was 1 page long seriously? The index at the end has been expanded by another 10 pages, and has been worked over to include what seem to me like more useful descriptors and references to commonly used functions. In the main body of the book, the most important and visually pleasing change is the use of fixed-width fonts for the snippets of code the user is meant to type in at the R command prompt.

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    The original version used proportional width fonts and had no spaces between operators for the user-typed code, making the code hard to read.

    This was always a puzzling choice, since the printed output from R displayed in the book did use a fixed-width font.

    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 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. The breadth of topics covered is unsurpassed when it comes to texts on data analysis in R.

    Request permission to reuse content from this site. 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.

    The R Book, 2nd Edition [Book]

    For most users of R, having this book as guide will make life with R much easier, and learning to master it much faster. Undetected country. NO YES. The R Book, 2nd Edition.

    Selected type: Added to Your Shopping Cart. Evaluation Copy Request an Evaluation Copy. Crawley ISBN:

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