Details

<p>Preface xxiii</p> <p>1 Getting Started 1</p> <p>2 Essentials of the R Language 12</p> <p>3 Data Input 137</p> <p>4 Dataframes 159</p> <p>5 Graphics 189</p> <p>6 Tables 244</p> <p>7 Mathematics 258</p> <p>8 Classical Tests 344</p> <p>9 Statistical Modelling 388</p> <p>10 Regression 449</p> <p>11 Analysis of Variance 498</p> <p>12 Analysis of Covariance 537</p> <p>13 Generalized Linear Models 557</p> <p>14 Count Data 579</p> <p>15 Count Data in Tables 599</p> <p>16 Proportion Data 628</p> <p>17 Binary Response Variables 650</p> <p>18 Generalized Additive Models 666</p> <p>19 Mixed-Effects Models 681</p> <p>20 Non-Linear Regression 715</p> <p>21 Meta-Analysis 740</p> <p>22 Bayesian Statistics 752</p> <p>23 Tree Models 768</p> <p>24 Time Series Analysis 785</p> <p>25 Multivariate Statistics 809</p> <p>26 Spatial Statistics 825</p> <p>27 Survival Analysis 869</p> <p>28 Simulation Models 893</p> <p>29 Changing the Look of Graphics 907</p> <p>References and Further Reading 971</p> <p>Index 977</p>

<p>“I consider this a must-read book for its content, writing, and organization." (<i>Computing Reviews</i>, 7 August 2014)</p> <p>“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.” (<i>Zentralblatt Math</i>, 1 August 2013)</p> <p>“Overall<i>, </i><i>The R Book (Second Edition)</i> 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.” (<i>Nekkidblogger.com</i>, 30 April 2013)</p> "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)

<b>Michael J. Crawley</b> FRS, Department of Biological Sciences, Imperial College of Science, Technology and Medicine<br />Author of three bestselling Wiley statistics titles and five life science books.

<p>THE <b>R</b> BOOK <p>SECOND EDITION <p>MICHAEL J. CRAWLEY, <i>Imperial College London at Silwood Park, UK</i> <p><b>Hugely successful and popular text presenting an extensive and comprehensive guide for all R users</b> <p>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. <p>This edition: <ul><li>Features full colour text and extensive graphics throughout.</li> <li>Introduces a clear structure with numbered section headings to help readers locate information more efficiently.</li> <li>Looks at the evolution of R over the past five years.</li> <li>Features a new chapter on Bayesian Analysis and Meta-Analysis.</li> <li>Presents a fully revised and updated bibliography and reference section.</li> <li>Is supported by an accompanying website allowing examples from the text to be run by the user.</li></ul> <p>Praise for the first edition: <p><b><i>‘…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.’</b></i> <i>The American Statistician</i> <p><b><i>‘The High-level software language of R is setting standards in quantitative analysis. And now anybody can get to grips with it thanks to</i> The R Book…’</b> <i>Professional Pensions</i>

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