Monthly Archives: January 2010

Crayola crayon colors, 1949-present

January 29, 2010
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Crayola crayon colors, 1949-present

Here's an example I featured in my list of 7 Awesome Things about R (awesome thing #3: graphics and data visualization). The Learning R blog features a reproduction of a graphic that recently appeared on Flowing Data. It shows the colors in a box of Crayola crayons: before 1949 there were only 8, but over the years additional colors...

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Looking for a Bayésien PhD

January 28, 2010
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Looking for a Bayésien PhD

I just got this email (yes, in French) looking for a Bayesian ready to work on algorithms: Dans le cadre de la société Vekia, nous recherchons un Docteur en statistiques bayésiennes pour un poste sur Lille à pourvoir dès que possible. Vekia est  un éditeur de logiciel pour le commerce fondée en 2007 par deux chercheurs (Pierre-Arnaud

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Introduction to R webinar today, slides available

January 28, 2010
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Just a quick reminder that I'll be hosting an introductory webinar about R today, The R Project: Data Analysis and Statistical Graphics for the Enterprise. It's at 9AM Pacific, so you might still have time to register for the live session at the link below. Otherwise, if you did catch the live session, you can pick up the slides...

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Advanced Graphics in R

January 27, 2010
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Advanced Graphics in R

Each quarter the UCLA Statistical Consulting Center hosts minicourses twice per week in R and LaTeX. Tonight was my turn to present. I presented Advanced Graphics in R. This was the same presentation I gave at the LA R Users’ Group in August will a fellow consultant. She and I had trouble coming together to make one presentation, so we...

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From the “blogosphere”? Hardly.

January 27, 2010
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From the “blogosphere”? Hardly.

I generally skip over “From the Blogosphere”, a (mostly) weekly-summary of one or two blog posts in Nature’s “Authors” section (here is the latest). Why? Well, I’ve always suspected that the title is rather misleading. Now, I have the hard numbers to prove it. My feed reader contains an archive of 128 articles, dating back

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Re-mapping Massachusetts Special election results

January 27, 2010
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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

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How to combine Google maps and data in R

January 27, 2010
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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...

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Bayesian courses in København

January 26, 2010
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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

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What programmers should know about Statistics

January 26, 2010
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Reader KW pointed me to this rant essay from Ruby on Rails enfant terrible Zed Shaw on what computer programmers don't know about statistical analysis, but should. (Spoiler alert: a lot, apparently.) Perhaps surprisingly, building complex software systems often involves a lot of simulation, experimentation, and measurement for which statistical methods would be an asset. But according to Shaw,...

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What Countries are ‘Pulling their Weight’ for Haiti?

January 26, 2010
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What Countries are ‘Pulling their Weight’ for Haiti?

Using the data provided ReliefWeb on the Appeals and Funding to Haiti (h/t DataBlog) and the most recent GNP estimates, I decided to do a little “back of the envelope” analysis. With GNP as a proxy for a country’s wealth, the hypothesis is that pledges should roughly be a linear function of wealth, i.e., the

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