After several months, it was time for a new release 0.2.4 of RInside which is now on CRAN. RInside is a set of convenience classes which facilitate embedding of R inside of C++ applications and programs, using the classes and functions provided by th... [Read more...]

[Read more...]

[Read more...]

[Read more...]

Last Monday, Conrad Sanderson released version 1.2.10 of his most excellent Armadillo templated C++ library for linear algebra; I followed up the same day with version 0.2.19 of our RcppArmadillo wrapper for R based on our Rcpp library. However, the... [Read more...]

[Read more...]

This week it was revealed that the iPhone stores users’ locations, and this immediately caused a huge firestorm of commentary by tech geeks, panic among privacy advocates, and delight to data geeks like myself. Even better/worse, it seems that the iPhone caches location traces long-term, possibly back to the ... [Read more...]

[Read more...]

[Read more...]

While preparing my slides for the Rcpp workshop this Thursday, I had wondered about more nice examples motivating Rcpp. So I posed a quick question on the rcpp-devel list. And I received a few friendly answers. My favourite, so far, was a suggesti... [Read more...]

This is the first post of Statisfaction on R-bloggers. As an introduction: we are PhD students and postdocs at CREST, a research centre on economics and statistics located in Paris, France. We jointly share tips and tricks useful in our everyday jobs, links to various pages, articles, conferences, seminars, including ... [Read more...]

A ways back I put up a post that uses R to plot the scoring trends of an NHL player. Given the recent chatter on sports talk radio around Boston, I used my script to plot the data for Michael … Continue reading → [Read more...]

[Read more...]

I was a bit frustrated when I read Aris's comment to this post about speed of his calculations in Matlab. So I changed the time span of my dataset to 5 years and repeated the whole code. It was VERY disappointing to get the results after more than 5 ho... [Read more...]

Earlier this week, data scientists Pete Warden and Alasdair Allen reported that iPhones and cell-enabled iPads keep an internal log of the devices location, which is accessible from the backup that iTunes creates when you sync the device. (Update Apr 27: Apple responds that the locations are those of nearby cell ... [Read more...]

Visualize location logs created by the iPhone using R and Google Maps. [Read more...]

I have big data problems.I need to analyze 100s of millions of rows of data and tried hard for 2 weeks to see if I can use R for this. My assessment so far from the experiments...1) R is best for data that fits a computer's RAM (so get more ... [Read more...]

Another book I received from the Short Book Reviews section of the International Statistical Review is Everitt’s and Hothorn’s Handbook of statistical analyses using R. Here is a [blog-ified] version of my book review. This book is the second (blue) edition of a successful (violet) handbook that can ... [Read more...]

So I’ve been looking for some data to play with while learning R, other than the data I’m analysing for various experiments and papers I’m working on. I thought to myself, “Hey, this R stuff is pretty geeky. Can I engage in a higher level of geekiness?” ... [Read more...]

I recently wanted to build a dataset from content in an RSS feed - the feed of crimes in Newark provided by SpotCrime.  (They have feeds for lots of US cities, but I just wanted Newark.  Please read their Terms of Service before using this co... [Read more...]