R can legitimately be called both a programming language and a statistical package. Many books address both the programming and statistical components of R, but invariably the discussion of statistical topics is more detailed than the discussion of programming capabilities. As a supplement, I’ve started the list of links below. Each of these sources deals […]
A Handbook of Statistical Analyses Using R – Everitt and Hothorn (2006)
Title: A Handbook of Statistical Analyses Using R Author(s): Brian S. Torvitt; Torsten Hothorn Publisher/Date: Chapman & Hall/2006 Statistics level: Intermediate to advanced Programming 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 […]
Controlling margins and axes with oma and mgp
When creating graphs, we’re usually most concerned with what happens near the center of our displays, as this is where most of the important information is generally held. But sometimes, either for aesthetics or clarity, we want to adjust what’s outside of the box – in the margins, labels or tick marks. The par() function […]
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 […]