(This article was first published on Econometrics Beat: Dave Giles' Blog, and kindly contributed to R-bloggers) This post is based on a handout that I use for one of my courses, and it relates to the usual linear regression model, y = Xβ...
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A pathological glm() problem that doesn’t issue a warning
I know I have already written a lot about technicalities in logistic regression (see for example: How robust is logistic regression? and Newton-Raphson can compute an average). But I just ran into a simple case where R‘s glm() implementation of logistic regression seems to fail without issuing a warning message. Yes the data is a
SAS Big Data Analytics Benchmark (Part One)
by Thomas Dinsmore On April 26, SAS published on its website an undated Technical Paper entitled Big Data Analytics: Benchmarking SAS, R and Mahout. In the paper, the authors (Allison J. Ames, Ralph Abbey and Wayne Thompson) describe a recent project to compare model quality, product completeness and ease of use for two SAS products together with open source...
A Brief Tour of the Trees and Forests
Tree methods such as CART (classification and regression trees) can be used as alternatives to logistic regression. It is a way that can be used to show the probability of being in any hierarchical group. The following is a compilation of many of the key R packages that cover trees and forests. The goal here
Quantify your jogging
Numbers are useful (I think we can all agree on that..). If you own a smart phone, you can install this runmeter app. When you run, you can take the smartphone with you and activate this app to collect interesting … Continue reading →
Revolution Newsletter: April 2013
The most recent edition of the Revolution Newsletter is out. The news section is below, and you can read the full April edition (with highlights from this blog and community events) online. You can subscribe to the Revolution Newsletter to get it monthly via email. Now Available: Revolution R Enterprise 6.2. Released today, this update further enhances the performance,...
A Call for Context-Aware Measurement
Context awareness seems to be everywhere, and everyone seems to be saying that context matters. Gartner foresees "a game-changing opportunity" in what it calls context-aware computing. The title of their report states it best, "Context Shap...
Announcing Revolution R Enterprise 6.2
We are pleased to announce that Revolution R Enterprise Release 6.2 is available to new subscribers today. This new software release from Revolution Analytics includes a number of key new features: Support for open source R 2.15.3, the latest stable release of R. Since Release 2.14.2, the R Project has added 89 new features, 11 performance enhancements and 139...
Veterinary Epidemiologic Research: Count and Rate Data – Poisson & Negative Binomial Regressions
Still going through the book Veterinary Epidemiologic Research and today it’s chapter 18, modelling count and rate data. I’ll have a look at Poisson and negative binomial regressions in R. We use count regression when the outcome we are measuring is a count of number of times an event occurs in an individual or group 
What Is the Probability of a 16 Seed Beating a 1 Seed?
Note: I started this post way back when the NCAA men's basketball tournament was going on, but didn't finish it until now. Since the NCAA Men's Basketball Tournament has moved to 64 teams, a 16 seed as never upset a 1 seed. You might be tempted to say ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
