_%7Bt,i%7D+++%5Csigma%5E2_t+&bg=ffffff&%23038;fg=000000&%23038;s=0)
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
I recently got all the Pitch F/X data downloaded from Gameday, and have been fiddling around. I certainly don't have the physics knowledge to really talk about the movement at this point, and I'm still acquainting myself with the data format and what e...
Found this tutorial by Emily Mankin on how to do principal components analysis (PCA) using R. Has a nice example with R code and several good references. The example starts by doing the PCA manually, then uses R's built in prcomp() function to do the s...
Do not resort to Monte Carlo methods unnecessarily. When I received this 2009 Springer-Verlag book, Computational Statistics, by James Gentle a while ago, I briefly took a look at the table of contents and decided to have a better look later… Now that I have gone through the whole book, I can write a short 
I've seen K-means clustering, PCA, etc. done some over at Beyond the Boxscore and Baseball Analysts (and the now defunct Statspeak), but I thought I'd just check out some clustering on the young fantasy season using the traditional 5x5 categories with ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
