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Textbook (Hardcover - New Edition)
TEXTBOOK INFORMATION
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 setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging from simple regression to time series or multivariate analysis.
Building on the success of the author’s bestselling Statistics: An Introduction using R, The R Book is packed with worked examples, providing an all inclusive guide to R, ideal for novice and more accomplished users alike. The book assumes no background in statistics or computing and introduces the advantages of the R environment, detailing its applications in a wide range of disciplines.
The R Book is aimed at undergraduates, postgraduates and professionals in science, engineering and medicine. It is also ideal for students and professionals in statistics, economics, geography and the social sciences.
More Reviews and RecommendationsMichael 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.
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August 03, 2009: It's not the right book if you want to learn how to use R. It's a good reference book after you have taken a R class or have good programming experience, especially with S or S-Plus. It has many useful tricks for coding. It also covers a lot of updated R packages. The index at the back is what I use most rather than the Contents from the begining. I would recommend this book to people that have basic R experience and want to become an active user of the language.
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December 03, 2007: This is a great book for someone new to R, who also has some background in mathematics and programming. But, it is also helpful for the complete beginner because it shows you, step-by-step, how to load data into the R environment so you can actually get started using R, even if you don't have a nearby R mentor to help you out. The writing is clear and accessible with examples provided for nearly all of the R software tools discussed. Also useful is that the author not only tells you which tools to use, but he also often says why they are important. It's a thick book, but if you take the time to work your way through it, you should actually be able to use R to solve real world problems without external guidance from a R veteran. Check it out!