This post provides background information that can be referenced by future posts. For the last 18 months I have been working in fits and starts on a book that has the working title “Empirical Software Engineering with R”. The idea is to provide broad coverage of software engineering issues from an ... [Read more...]

Books written to teach a general purpose programming language are usually organized according to the features of the language and examples often show how a particular language feature is interpreted by a compiler. Books about domain specific languages are usually organized in a way that makes sense in the corresponding ... [Read more...]

In order to provide an option to compare graphs produced by basic internal plot function and ggplot2, I recreated the figures in the book, 25 Recipes for Getting Started with R, with ggplot2. The code used to create the images is in separate paragraphs, allowing easy comparison. Read More: 336 Words Totally [Read more...]

There is a certain hype about mixed (and random) effects among statistician and analysts. You can show some love to Douglas Bates and Martin Maechler for maintaing the lme4 package for our cupid, R I copy the entity of the information of the projects page. Doxygen documentation of the underlying ... [Read more...]

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Well, that’s a good book that you shouldn’t miss “Introduction to Applied Bayesian Statistics and Estimation for Social Scientists”. Why you shouldn’t miss it? Coz, it’s practical and I mean p r a c t i c a l big time!!! I don’t own tons ... [Read more...]

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This post will eventually grow to hold a wide list of books on statistics (e-books, pdf books and so on) that are available for free download.  But for now we’ll start off with just one several books: The Elements of Statistical Learning written by Trevor Hastie, Robert Tibshirani and ... [Read more...]

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I have just reviewed the book Applied Spatial Data Analysis with R which has been published in the September2009  issue of the Royal Statistical Society’s Significance magazine. Applied Spatial Data Analysis with R is an accessible text that demonstrates and explains the handling of spatial data using the R ... [Read more...]