Chapman and Hall/CRC; 1 edition2009ISBN: 1584889470351 p. This text explains how statistical methods are used for data analysis and uses the elementary functions of R to perform the individual steps of statistical procedures. It includes amusing anecdotes and trivia, such as Ambrose Bierce’s definition of insurance. The text introduces basic concepts of inference through a careful study of several important procedures, including parametric and nonparametric methods, analysis of variance, and regression. It also presents many applications, supporting data sets, and end-of-chapter exercises. The R code and data sets are available for download online and a solutions manual is available for qualifying instructors.
Sign up or login using form at top of the page to download this file.
Wiley, 2008. — 618 p. — ISBN: 0470758058. R, an Open-source software, has become the de facto statistical computing environment. It has an excellent collection of data manipulation and graphics capabilities. It is extensible and comes with a large number of packages that allow statistical analysis at all levels – from simple to advanced – and in numerous fields including...
Second Edition. — Springer, 2008. — (501 + 305) p. — ISBN: 0387759586. The book was developed for a one-semester course usually attended by students in statistics, economics, business, engineering, and quantitative social sciences. Basic applied statistics through multiple linear regression is assumed. Calculus is assumed only to the extent of minimizing sums of squares, but a...
CRC, 2010. — 240 p. — ISBN: 1439835802. Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and...
O’Reilly Media, 2011. — 436 p. — ISBN: 0596809158. With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with...