A Poisson process provides a good model for events that happen rarely. That's what von Bortkiewicz realized in 1898 when he modeled deaths by horse kick in Prussian cavalry; since it would be ungentlemanly to actually kill my readers, I instead represent the events in a Poisson process using a horse's whinny.
The recent Sonification Handbook has a chapter devoted to exploratory data analysis using sound. With some help from Sam Ferguson, one of the chapter's authors, I've made it easy to implement those techniques using
Apparent Reason, my new monthly podcast, is a boisterous and non-technical discussion of economics and statistics. In that format I don't have the luxury of showing charts and graphs to complement my discussion, so I use the playitbyr package to represent the data as sound. (Apparently February is a great month to start R-related podcasts! […]
(Update: The csound package is now available on CRAN.) Do your random variables need to groove more? Of course they do. That's why I've been working on the upcoming csound package for R, which connects to Csound computer synthesis software to make any sound imaginable. Your computer'll be the hippest sample space on the randomized […]
Today I unveil my very first statistical YouTube video! I will do anything to keep you statisfied, and if that means YouTube, then so be it. But first, some exposition: In Panama, 10 percent of the population owned 45 percent of the income in 2000, whereas the bottom 10 percent owned only 0.6 percent. How […]
What happens when you mash together R's data crunching magic, Festival's speech synthesis power, and the audio wonders of the venerable music language Csound? You fall even more in love with free and open-source software, and you start hearing sounds like this: A single beat of the above sound represents the top 1000 baby names […]