Ecologists commonly collect data representing counts of organisms. Generalized linear models (GLMs) provide a powerful tool for analyzing count data. The starting point for count data is a GLM with Poisson-distributed errors, but

Ecologists commonly collect data representing counts of organisms. Generalized linear models (GLMs) provide a powerful tool for analyzing count data. The starting point for count data is a GLM with Poisson-distributed errors, but

A National Institute for Occupational Safety and Health study, published in March, found that professional American football (NFL) players lived longer, on average, than similar "mere mortals" in the general population. Football is a dangerous sport, so that might seem surprising at first, until you consider the fact that NFL players are elite sportsmen: only the strongest, fastest and...

This course is running 1-5 October at the University of Essex. There doesn’t seem to be a website but you register by writing to [email protected] Here’s what they say in their e-mail: Lecturers: Dr Werner Adler (University of Erlangen-Nuremberg; Co-author … Continue reading →

A big thank-you to all the R users out there who voted for Revolution R Enterprise in DataWeek Awards. We're so pleased to be recognized by the voters and the DataWeek judging panel with the Top Innovator Award for Data Science Technology. We're looking forward to the awards ceremony next week at DataWeek SF (in San Francisco, September 24-27)....

In this tutorial I am going to share my R&D and trading experience using the well-known from statistics Autoregressive Moving Average Model (ARMA). There is a lot written about these models, however, I strongly recommend Introductory Time Series with R, which I find is a perfect combination between light theoretical background and practical implementations in

Data science is a sophisticated and complex discipline, but since it's still an emerging field, its practitioners come from a wide variety of backgrounds. Typically, though, a background in working with large data sets in a research setting is advantageous. This is why you may be mingling with a former physicist or immunologist at the next data hackathon...