Monthly Archives: November 2013

Towards the R package sheldus, Part 1: Natural Disaster Losses in the US in 2012

November 7, 2013
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Towards the R package sheldus, Part 1: Natural Disaster Losses in the US in 2012

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...

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The R Backpages

November 7, 2013
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The R Backpages

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...

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R intro seminars, take 2: some slides about data frames, linear models and statistical graphics

November 7, 2013
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R intro seminars, take 2: some slides about data frames, linear models and statistical graphics

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

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College Basketball: Presence in the NBA over Time

November 7, 2013
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College Basketball: Presence in the NBA over Time

Interested in practicing a bit of web-scraping, I decided to make use of a nice dataset provided by Databasebasketball.com in order to examine the representation of various college programs in the NBA/ABA over time. This dataset only includes retired players, and ends in 2010, so I decided to...

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Databases for text analysis: archive and access texts using SQL

November 7, 2013
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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...

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Unsupervised data pre-processing: individual predictors

November 7, 2013
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Unsupervised data pre-processing: individual predictors

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.

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Nonlinear Gmm with R – Example with a logistic regression

November 7, 2013
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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...

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Webinar replay: What’s new in Revolution R Enterprise 7

November 6, 2013
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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...

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EXIF with R | rCharts + catcorrjs + exiftool

November 6, 2013
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EXIF with R | rCharts + catcorrjs + exiftool

I wanted to analyze the EXIF information in a whole group of photos from a recent trip to Disney World.  Of course I decided to use R and throw in some interactive charting with d3.js, rCharts, and and the new catcorrjs.  Integrating the amaz...

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Correspondence Analysis in R

November 6, 2013
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Correspondence Analysis in R

Correspondence analysis (from a layman’s perspective) is like principal components analysis for categorical data. It can be useful to discover structure in this type of data. My friend Gianmarco Alberti, an archaeologist, has put together an in depth web site … Continue reading →

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