Among the books I received for review in CHANCE, here are some neither I nor my “usual suspects” had enough time or interest in to review: R Graphics (second edition) by Paul Murrell Biostatistics: A computing approach by Stewart Anderson Advanced Bayesian methods for medical test accuracy by Lyle Broemeling ... [Read more...]

After a sunny weekend to unpack and unwind, I am now back to my normal schedule, on my way to Paris-Dauphine for an R (second-chance) exam. Except for confusing my turn signal for my wiper, thanks to two weeks of intensive driving in four Australian states!, things are thus back ... [Read more...]

As the ‘Og reached its 1500th post and 3000th comment at exactly the same time, a wee and only mildly interesting Sunday morning foray in what was posted so far and attracted the most attention (using the statistics provided by wordpress). The most visited posts: Title Views Home page 203,727 In{... [Read more...]

Thanks to a link on R-bloggers, I was introduced to Luis Apiolaza’s blog, Quantum Forest, which covers data analyses and R comments he encounters in his research as a quantitative forester/geneticist. And he works at the University of Canterbury, Christchurch, where I first taught from Bayesian Core in 2006. ... [Read more...]

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 un... [Read more...]

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 ... [Read more...]

Like last year, here are the most popular posts since last August: Home page 92,982 In{s}a(ne)!! 6,803 “simply start over and build something better” 5,834 Julien on R shortcomings 2,373 Parallel processing of independent Metropolis-Hastings algorithms 1,455 Do we need an integrated Bayesian/likelihood inference? 1,361 Coincidence in lotteries 1,256 #2 blog for the statistics ... [Read more...]

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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 ... [Read more...]

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 program... [Read more...]

Order this book from Amazon This book is written by the author of the ggplot2 package for R, which is a package with a design inspired by the grammar of graphics and can remove some of the effort required to put together impressive graphs. The book is just under 200 pages ... [Read more...]

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 ... [Read more...]

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 recom... [Read more...]