Trying not to fall into Thanksgiving Day, football, coma. So I started looking at the Matrix package.Started out by changing my code from before to create a matrix using the Matrix() function from the Matrix package.n = 4000c = Matrix(.9,n,n)for(...
Trying not to fall into Thanksgiving Day, football, coma. So I started looking at the Matrix package.Started out by changing my code from before to create a matrix using the Matrix() function from the Matrix package.n = 4000c = Matrix(.9,n,n)for(...
A few days ago, one of my students, Jacopo Primavera (from La Sapienza, Roma) presented his “reading the classic” paper, namely the terrific bounded normal mean paper by my friends George Casella and Bill Strawderman (1981, Annals of Statistics). Even though I knew this paper quite well, having read (and studied) it myself many times, 

The R programming language has become one of the standard tools for statistical data analysis and visualization, and is widely used by Google and many others. The language includes extensive support for working with vectors of integers, numerics (doubles), and many other types, but has lacked support for 64-bit integers. ...
I hate the Giants. Let this be known. What i was hoping to find was another reason to support my claim that their WS win in 2010 was a complete fluke. So when digging through the game logs for the … Continue reading →![]()
It's Thanksgiving day here in the US: > library(timeDate) > holiday(2011,"USThanksgivingDay") GMT So we're taking a little break today here at Revolutions. We have a special "Because it's Friday" post queued up for tomorrow, and then we'll be back to the usual schedule on Monday. For readers in the US, enjoy the Thanksgiving holiday!
The following function, color.palette(), is a wrapper for colorRampPalette() and allows some increased flexibility in defining the spacing between main color levels. One defines both the main color levels (as with colorRampPalette) and an optional vector containing the number of color levels that should be put in between at equal distances.