My last four posts have dealt with boxplots and some useful variations on that theme. Just after I finished the series, Tal Galili, who maintains the R-bloggers website, pointed me to a variant I hadn’t seen before. It's called a bee...

After posting so many entries about typos in my books (making you wonder how there could be any text left!) and postponing their classification for so long, I decided on Saturday afternoon to collect those entries into a comprehensive pdf document that should be more useful for readers. I incidentally noticed that my book web-page

Robert Muenchen, the author of R for SAS and SPSS Users (A great book I’m proud to have on my shelf), has published this week an article in which he compares the popularity/market-share of many of the common statistical packages including R, SAS, SPSS and many others. The full article is available on r4stats.com at: “The Popularity of Data Analysis...

Another release (1.1.90) by Conrad Sanderson for his wonderful Armadillo templated C++ library for linear algebra appeared yesterday. Consequently, a new release 0.2.17 of RcppArmadillo, our Rcpp-based integration into R is now on CRAN mirrors. The...

Tech news site The Register has just published an in-depth profile of Revolution Analytics. It was great meeting the author Dan Olds at Revolution HQ a couple of weeks ago, and sharing with him why we think the R language is the way forward for data science: modern, applied, large-scale statistical analysis. He captures that sentiment perfectly in the...

The cornerstone of your analysis and quantitative trading algorithms are data. There are lots of different ways how to do it in R (depending of what your investment instruments are). Today I am going to download data from finance.yahoo which are stock ...