I'm surprised by how similar the trends are (excluding the drug war in Mexico). There were big decreases in the homicide rate in all three countries starting in the early nineties, which then slowed down around 2000. The homicide rates for Mexicans ...
I recently e-mailed David Smith of Revolution Analytics with a few questions about their relationship with the R-project, and how they handle R‘s source code. David mentioned, and I’m flattered that my email motivated an additional page on the Revolution website. Beyond this, I have no other relationship with the company. I’d like to thank
Update Tuesday, September 14, 2010: Fixed the ylim issue, now it sets the y axis limit based on the smallest observed p-value. A while back Will showed you how to create QQ plots of p-values in Stata and in R using the now-deprecated sma package. A bi...
![Multidimension bridge sampling (CoRe in CiRM [5])](http://www.r-bloggers.com/wp-content/uploads/2010/07/cda_displayimage4.jpg?SGWID=0-0-16-301393-0)
Since Bayes factor approximation is one of my areas of interest, I was intrigued by Xiao-Li Meng’s comments during my poster in Benidorm that I was using the “wrong” bridge sampling estimator when trying to bridge two models of different dimensions, based on the completion (for and missing from the first model) When revising the 
I’d like to announce a new project by Offensive Politics called House Data, launching today. House Data is a large-scale extract of FEC Form 3 Summary of receipts of disbursements (pdf warning) of every US House campaign from mid-2001 onward. The traditional source for campaign finance summaries is the Candidate Summary File, which is a
Revolution CEO Norman Nie just recorded a live podcast with Terry Sweeney of Internet Evolution Radio. In the 30-minute interview, Norman talked about the history of R, his time with SPSS, development plans for Revolution R, and how predictive analytics is impacting businesses, the Web, and even political opinion. You can hear the recorded interview at the link below....
I am not sure apeescape’s ggplot2 area plot with intensity colouring is really the best way of presenting the information, but it had me intrigued enough to replicate it using base R graphics.
The key technique is to draw a gradient...
I am not sure apeescape’s ggplot2 area plot with intensity colouring is really the best way of presenting the information, but it had me intrigued enough to replicate it using base R graphics.
The key technique is to draw a gradient...
I love R. It is really a great language and platform for statistical work and graphing. But every technology has its limits - and other tools can be meet different needs. So in this post, I will start with R and move on to the JavaScr...
![A quantum leap (CoRe in CiRM [4])](http://www.r-bloggers.com/wp-content/uploads/2010/07/scotlip-e1278943739332.jpg?w=360&h=346)
Today, as I was trying to install SpatialEpi to use the Scotland lip cancer data in the last chapter of Bayesian Core, I realised my version of R, R Version 2.6.1, was hopelessly out of date! As I am also using Hardy Heron, a somehow antiquated version of Ubuntu on my Mac, upgrading R took 
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
