Windows 95 transformed the PC software market and established Microsoft as the dominant player. Can Microsoft do it again? Can it use the release of Windows 8 to elevate its entire brand image? More importantly to some of us, can Microsoft use statistical modeling to help it achieve its goal?
Tom Louis Tom Louis is a professor of Biostatistics at Johns Hopkins and will be joining the Census Bureau through an interagency personnel agreement as the new associate director for research and methodology and chief scientist. Tom has an impressive history of … Continue reading →
I mostly wrote this just to see how locator() works, and ended up making an HCL color picker, so you can make your own visually offensive rainbow color palettes! Or, you can make your own nice color palettes. It is up to you. Essentially, this script...
Here are my R midterm exams, version A and version B in English (as students are sitting next to one another in the computer rooms), on simulation methods for my undergrad exploratory statistics course. Nothing particularly exciting or innovative! Dedicated ‘Og‘s readers may spot a few Le Monde puzzles in the lot… Two rather entertaining 
Officially, it’s weekend. I’m solving this 23rd Euler problem just before my supper. A perfect number is a number for which the sum of its proper divisors is exactly equal to the number. For example, the sum of the proper divisors … Continue reading →
Last week I talked about objects including scalars, vectors, matrices, dataframes, and lists. This post will show you how to use the objects (and their corresponding classes) you create in R to your advantage.First off, it's important to remember...
Leo Spizzirri does an excellent job of providing mathematical intuition behind eigenvector centrality. As I was reading through it, I found it easier to just work through the matrix operations he proposes using R. You can find his paper her...
The night of the presidential elections I wrote a post celebrating the victory of data over punditry. I was motivated by the personal attacks made against Nate Silver by pundits that do not understand Statistics. The post generated a little … Continue reading →
I guess that all those that tried to follow the presidential election as closely as possible are more than just a little bit exhausted mentally. I call this PEBOS - Post Election Burn Out Syndrome.Among us some concentrated on the horserace aspect of t...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
