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)
Michael Crawley is Professor at Imperial College at Silwood Park. He is a fellow of the Royal Society and author of the bestselling titles "Statistics: An Introduction using R" and Statistical "Computing: An Introduction to Data Analysis Using S-Plus."
In stock - for items in stock we aim to dispatch the next business day. For delivery in NZ allow 2-5 business days, with rural taking a wee bit longer.
Locally sourced in NZ - stock comes from a NZ supplier with an approximate delivery of 7-15 business days.
International Imports - stock is imported into NZ, depending on air or sea shipping option from the international supplier stock can take 10-30 working days to arrive into NZ.
Pre-order Titles - delivery will vary depending on where the title is published, if local stock is available in NZ then 5-7 business days, for international imports it can be 10-30 business days. In all cases we will access the quickest supply option.
Delivery Packaging - we ship all items in cardboard sleeves or by box with either packing paper or corn starch chips. (We avoid using plastics bubble bags)
Tracking - Orders are delivered by track and trace courier and are fully insured, tracking information will be sent by email once dispatched.
View our full Order & Delivery information
Notify me by email when this product is back in stock.
Details of the product above will be automatically included with your enquiry.