I take an almost unhealthy pleasure in pushing my computer to its limits. This has become easier with Revolution R and its free license for academic use. One of its best features is debugger that allows you to step through … Continue reading →
I take an almost unhealthy pleasure in pushing my computer to its limits. This has become easier with Revolution R and its free license for academic use. One of its best features is debugger that allows you to step through … Continue reading →
A few months ago I covered an algorithm called EMMA (Efficient Mixed-Model Association) implemented in R for simultaneously correct for both population stratification and relatedness in an association study. This method/software is very useful because ...
The recently arXived paper of Goldstein, Rinott and Scarsini studies the impact of refining a partition on the precision of a stratified maximising/integration Monte Carlo approach. Quite naturally, if the partition gets improved, simulating points in each set of the partition can only improve the quality of the approximation, whether the problem is in maximising 
Early this morning I sent Rcpp version 0.8.1 off to CRAN and Debian. In the meantime, Romain has already provided a very nice blog post about it. There are a few fairly visible new things in this release. As we want to focus the next few minor release...
Early this morning I sent Rcpp version 0.8.1 off to CRAN and Debian. In the meantime, Romain has already provided a very nice blog post about it. There are a few fairly visible new things in this release. As we want to focus the next few minor rel...
R did definitely not start to be THE statistical computing tool. The “two Rs” in far down-under just needed some tool which was not too expensive and structured enough to support the elementary statistics classes filled with hundreds of students. Another constraint was the computing lab which was large enough, but “only” filled with Mac
Revolution's CEO Norman Nie recently gave an interview to CNET's Dave Rosenberg, who blogs on disrupting the software market. Among the topics covered: What is R (Nie: "R is the most powerful statistical computing language on the planet"), what is predictive analytics ("statistical modeling by another name") and plans for Revolution R ("we intend to bring predictive analytics to...