Those in the political science discipline probably remember their first encounter with poliscijobrumors.com. For those outside, you have probably never heard of this particular message board, and you would have no reason to. As the URL suggests, the board specializes in rumor, gossip, back-bitting, mudslinging, and the occasional lucid thread on the political science
I describe a kernel density approach to outlier detection on small datasets. In particular, my model is the set of prices for a given item that can be found online. Introduction Suppose you’re searching online for the cheapest place to … Continue reading →
Aaron Koblin’s Sheep Market visualization is an awesome use of Mechanical Turk. But it’d be even more awesome if the grid were ordered, so inspired by the use of eigenfaces in facial recognition, I decided to try projecting the sheep … Continue reading →
Given a set of numerical datapoints, we often want to know how many clusters the datapoints form. Two practical algorithms for determining the number of clusters are the gap statistic and the prediction strength. Gap Statistic The gap statistic algorithm … Continue reading →
We've already seen two discrete probability distributions, the binomial and the hypergeometric. The binomial distribution describes the number of successes in a series of independent trials with replacement. The hypergeometric distribution describes th...
We've already seen two discrete probability distributions, the binomial and the hypergeometric. The binomial distribution describes the number of successes in a series of independent trials with replacement. The hypergeometric distribution describes the number of successes in a series of independent trials without replacement. Chapter 6 of Using R introduces the geometric distribution - the time to...
Well, so much for that #march11 #Saudi day of rage. Whether it was really the "tempest in a teacup" that Prince Al-Waleed suggested on CNBC (video below, transcript here) or not, the oil complex and Saudi markets seem to have shrugged … Continue reading →
Last time, I covered ordinary least squares with a single variable. This time, I'll extend this to using multiple predictor variables in a regression, interacting terms in R, and start thinking about using polynomials of certain terms in the regression (like Age and Age Squared). This should be a pretty straight forward tutorial, especially if you've got...
Last time, I covered ordinary least squares with a single variable. This time, I'll extend this to using multiple predictor variables in a regression, interacting terms in R, and start thinking about using polynomials of certain terms in the regression (like Age and Age Squared). This should be a pretty straight forward tutorial, especially if you've got...
This post from Sherry LaMonica is the first in a series from members of the Revolution Analytics Engineering team — ed. Do you know about the big data capabilities in the RevoScaleR package, included with every Revolution R Enterprise installation? RevoScaleR provides a framework for fast and efficient multi-core processing of large data sets. You can visualize and model...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
