The SHELDUS database, short for Spatial Hazard Events and Losses Database in the United States (http://webra.cas.sc.edu/hvri/products/sheldus.aspx), from the University of South Carolina, is a database on human and property losses from natural di...

by Joseph Rickert As an avid newspaper reader (I still get the print edition of the New York Times delivered every Sunday morning) I have always thought that some of the most interesting news is to be found in the back pages. So, in that spirit here are some things that I thought might be fit to print. Plotly...

I am doing a second installment of the lunch seminars about data analysis with R for the members of the Wright lab. It’s pretty much the same material as before — data frames, linear models and some plots with ggplot2 — but I’ve sprinkled in some more exercises during the seminars. I’ve tried emphasising scripting a

This post is a collection of scripts I've found useful for integrating a SQL database into more complex applications. SQL allows quickish access to largish repositories of text (I wrote about this at some length here), and are a good starting point for...

I just got the excellent book Applied Predictive Modeling, by Max Kuhn and Kjell Johnson . The book is designed for a broad audience and focus on the construction and application of predictive models. Besides going through the necessary theory in a not-so-technical way, the book provides R code at the end of each chapter.

In this post, I will explain how you can use the R gmm package to estimate a non-linear model, and more specifically a logit model. For my research, I have to estimate Euler equations using the Generalized Method of Moments. I contacted Pierre Chaussé, the creator of the gmm library for help, since I was having...

In case you missed yesterday's webinar, the slides and replay are now available for Introducing Revolution R Enterprise 7: The Big Data Big Analytics Platform. I've embedded the slides below — if you're already familiar with Revolution R Enterprise the new features start at Slide 21. You can also download the slides or watch the video replay from the...

e-mails with the latest R posts.

(You will not see this message again.)