On http://www.bakadesuyo.com, there was recently an interesting discussion about infidelity, the key question being "at what ages are men and women most likely to have affairs?" The discussion is based on some graphs, e.g.The source is a paper b...

R news and tutorials contributed by (552) R bloggers

Running R in the cloudSo you want to run R in the cloud so you can set your Gibbs sampling off, forget about it, and not be paranoid about power cuts and reboots. Andrew Gelman hosted a good debate on the pros and cons of R in the cloud on his blog. ...

Fred Schiff writes: I’m writing to you to ask about the “R-squared” approximation procedure you suggest in your 2004 book with Dr. Hill. I’m a media sociologist at the University of Houston. I’ve been using HLM3 for about two years. Briefly about my data. It’s a content analysis of The post R-squared...

Yesterday I pushed an update of my analogue package to CRAN. The new version is 0.8-0 and contains some new functions, several bug fixes and a major change arising from additions to R 2.14.x requiring all packages to have a namespace. analogue now has its own namespace rather than relying on...

A commenter on this blog reminded me of one of the frustrating aspects faced by newbies, not only to R but to any other programming environment (I am thinking of typical students doing stats for the first time). The statement … Continue reading →

Today I was typing to a friend who is working on a Ph.D thesis about my favor issue on elections: campaign contributions. We discussed about analyzing probabilities of a particular group/category grasp more money than the others, in this case, male and female given a district. A preliminary approach should consider identify in the data