Last week we looked at an analysis done in R by the good folks at Offensive Politics, looking at the political climate surrounding the recent Senate election in Massachusetts. There were some very insightful comments (thanks, Revolutions readers!) about the design of the charts, especially in the choice of color schemes used (the originals didn't use a neutral white...
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In case you missed it: January roundup
In case you missed them, here are some articles from last month of particular interest to R users. This post linked to slides and video from a 30-minute "Introduction to R" talk I gave on January 28, with links to many useful R resources. This post brought news that R's creators Robert Gentleman and Ross Ihaka have jointly won...
Ensemble Prediction
Weather is unpredictable. Small differences in initial conditions can develop into big differences in the pattern of circulation, in the timing and location of cyclones, rainfall etc. This is true no matter how good the initial observing system is. The approach taken by organisations such as ECMWF or NCEP is to re-run numerical forecast models
Practical Implementation of Neural Network based Time Series (Stock) Prediction – PART 3
Ok, now that we have seen how well the perfect sine wave signal was learned, let's turn it up a notch and see how well the complex sine wave was learned.Fig 1. Summary of Actual Vs. Predicted out of sample complex sine waveformUh Oh. What happened, the...
Re-mapping Massachusetts Special election results
I had previously posted maps showing the difference in major party vote share between the 2008 Presidential election and the 2010 special Senate election in Massachusetts. Colleagues and readers of the Revolutions blog had some very insightful criticisms of these maps, in particular that the color scale was over-stating the swing in voter sentiment. I’ve
How to combine Google maps and data in R
Every good artist needs a canvas, and when it comes to displaying geographic data placing those data in context -- on a map -- makes all the difference. A new package for R from Markus Loecher, RgoogleMaps, allows you to download a street or satellite map from Google simply by specifying the bounding latitude/longitude coordinates. (You need to sign...
Bayesian courses in København
I received this announcement about two incoming courses given in København by Andrew Lawson:
1) “*An Introduction to Bayesian Disease Mapping*”
A Two-Day Course, April 12.- 13. 2010, University of Southern Denmark
This course is designed to provide an introduction to the area of Bayesian disease mapping in applications to Public Health and Epidemiology:
2) “*Advanced Bayesian Disease Mapping*”
A 
ggplot2: Quick Heatmap Plotting
A post on FlowingData blog demonstrated how to quickly make a heatmap below using R base graphics. This post shows how to achieve a very similar result using ggplot2. Data Import FlowingData used last season’s NBA basketball statistics provided by databasebasketball.com, and the csv-file with the data can be downloaded directly from its website. > 
Mapping the Massachusetts election upset with R
The blog Offensive Politics has done some in-depth analysis of the recent Senate special-election upset in Massachusetts, comparing the results of victorious Republican candidate Scott Brown to those of the unsuccessful Republican Presidential candidate John McCain in 2008. It's pretty clear that Brown out-performed expectations with Democratic voters, but this chart of the change in Democratic voters from 2008...
Mapping MA election results
The Swing State Project recently had some very interesting maps comparing last week’s election results from Massachusetts to 2008 presidential primary results. Their maps posted show some very interesting trends, but the maps themselves are lacking in information and the color schemes are pretty ugly. Using my own source data I recreated their election night
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
