Book Reviews

Bayesian Computation with R – Albert (2009)

Title: Bayesian Computation with RAuthor(s): Jim AlbertPublisher/Date: Springer/2009Statistics level: High Programming level: Low Overall recommendation: Recommended Bayesian Computation with R focuses primarily on providing the reader with a basic understanding of Bayesian thinking and the relevant analytic tools included in R. It does not explore either of those areas in detail, though it does hit …

Data Manipulation with R – Spector (2008)

Title: Data Manipulation with RAuthor(s): Phil SpectorPublisher/Date: Springer/2008Statistics level: N/A Programming level: Intermediate Overall recommendation: Highly recommended If there is one book that every beginning R user coming from a programming background should have, it is Spector’s Data Manipulation with R. New R users with analytic backgrounds and experience with software packages such as SAS …

A Handbook of Statistical Analyses Using R – Everitt and Hothorn (2006)

Title: A Handbook of Statistical Analyses Using RAuthor(s): Brian S. Torvitt; Torsten HothornPublisher/Date: Chapman & Hall/2006Statistics level: Intermediate to advancedProgramming level: Intermediate Overall recommendation: Highly recommended A Handbook of Statistical Analyses Using R addresses a list of several common statistical analyses in great detail. Over a course of 15 chapters, the handbook takes the reader …

Data Analysis and Graphics Using R – Maindonald and Braun (2003)

Title: Data Analysis and Graphics Using R: An Example-Based ApproachAuthor(s): John Maindonald; John BraunPublisher/Date: Cambridge University Press/2003Statistics level: Intermediate to advancedProgramming level: Beginner to intermediate Overall recommendation: Highly recommended Data Analysis and Graphics Using R (DAAG) covers an exceptionally large range of topics. Because of the book’s breadth, new and experienced R users alike will …