Over at stats.stackexchange.com recently, a really interesting question was raised about principal component analysis (PCA). The gist was “Thanks to my college class I can do the math, but what does it MEAN?” I felt like this a number of times in my life. Many of my classes were focused on the technical implementations they kinda
al Galili requested in the R-help mailing list for a SyntaxHighlighter brush for the R language, so that WordPress users can highlight their R code easily. I promised to contribute a few minutes on this task, and here is the result: /** * Author: Yihui Xie * URL: http://yihui.name/en/2010/09/syntaxhighlighter-brush-for-the-r-language * License: GPL-2 | GPL-3 */
I picked up the AT&T Laboratories Cambridge database of faces for a clustering application. The database consists of images of 40 distinct subjects, each in 10 different facial positions and expressions. Typically, the goal of clustering in these data is to recover the ‘true’ partition, or that which isolates images of distinct subjects. Each image
Previously, I did a simple Bayesian projection of recent temperature using proxy data and the methods shown in McShane and Wyner (2010). I showed that when you take out the last 30 years of data (1969~1998), the projection does not track the recent uptick in temperatures well. The “projection” is a simple unparametric bootstrap which 
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Update: fixed projection. There are a bunch of “hockey sticks” that calculate past global temps. through the use of proxies when instrumental data is absent. There is a new one out there by McShane and Wyner (2010) that’s creating quite a stir in the blogosphere (here, here, here, here). The main take out being, that 
Recently I was re-reading a paper on predictive soil mapping (Park et al, 2001), and considered testing one of their proposed terrain attributes in GRASS. The attribute, originally described by Blaszczynski (1997), is the distance-weighted mean differe...
![CoRe in CiRM [end]](http://www.r-bloggers.com/wp-content/uploads/2010/07/img_7299-e1279311296903.jpg?w=450&h=201)
Back home after those two weeks in CiRM for our “research in pair” invitation to work on the new edition of Bayesian Core, I am very grateful for the support we received from CiRM and through it from SMF and CNRS. Being “locked” away in such a remote place brought a considerable increase in concentration 
The Federal Reserve of St. Louis has an amazing amount of economic data available through their API. You need to apply for an API key, and once you have been approved you include your API key as URL parameter to access your data. api_key='YOUR API KE...
About Clustergrams In 2002, Matthias Schonlau published in “The Stata Journal” an article named “The Clustergram: A graph for visualizing hierarchical and . As explained in the abstract: In hierarchical cluster analysis dendrogram graphs are used to visualize how clusters are formed. I propose an alternative graph named “clustergram” to examine how cluster members are assigned to clusters as...
PROS ARE NOT GETTING BETTER AT FREE THROWS Rick Larrick recently told Decision Science News that baseball players have been getting better over the years in a couple ways. First, home runs and strikeouts have increased. The careless or clueless reader might note that this is curious, for from the batter’s perspective home runs are
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
