On the afternoon of 14 November, the RSS is hosting a joint meeting with the International Biometric Society at Errol Street. The topic is inter-operability, as in software packages talking to each other to make your life easier. This is … Continue reading → [Read more...]

I came across a new source of data which I think is really worth sharing: ThinkNum. It gathers around 2,000 sources of data but more importantly it allows the user to manipulate this data via functions and graphics and there is an R package available on CRAN. Interested readers can find ... [Read more...]

Here’s a short R function I wrote to turn a long data set into a wide one for viewing. It’s not the most exciting function ever but I find it quite useful when my screen is wide and short. It simply cuts the data set horizontally into equal ... [Read more...]

Following  a question that I posted on stackoverflow.com, I recieved the great advice to use the Bioconductor rhdf5 package to work with HDF5 files. The package is not located on CRAN, but can be sourced from the Bioconductor website: source("http://bioconductor.org/biocLite.R")biocLite("rhdf5") Created by ... [Read more...]

I have been using R for many years now and it has served me quite well.  I have used it for all manners of data prep work, analysis, developing figures, and more recently GIS and creating reproducible reports with knitr.  During this time my typical workflow included creating new folders ... [Read more...]

In this post, I use a simulated dataset (7 variables -3 factor and 4 numeric - and a sample size of 50) to create graphs/charts using base R, and replicate them using ggplot2, and rCharts. This is not an attempt to create an exhaustive database of grap... [Read more...]

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... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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 only ... [Read more...]

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... [Read more...]

I just got the excellent book Applied Predictive Modeling, by Max Kuhn and Kjell Johnson [1]. 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 ... [Read more...]

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 ... [Read more...]

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 ... [Read more...]

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... [Read more...]

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 → [Read more...]

Manhattan plots have become the standard way to visualize results for genetic association studies, allowing the viewer to instantly see significant results in the rough context of their genomic position.  Manhattan plots are typically shown on a l... [Read more...]

In What Role, If Any, Does Spending Data Have to Play in Local Council Budget Consultations? I started wondering about the extent to which local spending transparency data might play a role in supporting consultation around new budgets. As a first pass, I’ve popped up a quick application up ... [Read more...]

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When plotting in R, I often use the segments function to add lines representing confidence intervals. This is a very simple way to plot lines connecting pairs of x,y coordinates. Recently I discovered that by default, segments are styled with … Continue reading → [Read more...]