Blog Archives

Roman dataviz and inference in complex systems

May 29, 2015
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Roman dataviz and inference in complex systems

I’m in Rome at the International Workshop on Computational Economics and Econometrics. I gave a seminar on Monday on the ever-popular subject of data visualization. Slides are here. In a few minutes, I’ll be speaking on Inference in Complex Systems, … Continue reading →

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Slice bivariate densities, or the Joy Division “waterfall plot”

October 8, 2014
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Slice bivariate densities, or the Joy Division “waterfall plot”

This has been on my to-do list for a long old time. Lining up slices through a bivariate density seems a much more intuitive way of depicting it than contour plots or some ghastly rotating 3-D thing (urgh). Of course, … Continue reading →

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Transparent hurricane paths in R

October 1, 2014
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Transparent hurricane paths in R

Arthur Charpentier has written a really nice blog post about obtaining hurricane tracks and plotting them. He then goes on to do other clever Markov process models, but as a dataviz guy who knows almost nothing about meteorology, I want to … Continue reading →

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Save your simulation study seeds

September 11, 2014
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Save your simulation study seeds

Here in the Northern hemisphere, gardeners are gathering seeds from their prize-winning vegetables are storing them away for next year’s crop. Today at the 20th London Stata Users’ Group meeting, I learnt a similar trick. It’s strange I never thought … Continue reading →

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Two handy documents for making good UK maps

July 4, 2014
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Two handy documents for making good UK maps

Everybody loves a good map. Even if you don’t have any reason to make one, your boss will love it when you do, so check this out and get yourself a pay rise (possibly). First, this set of diagrams via … Continue reading →

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Meta-analysis methods when studies are not normally distributed

June 10, 2014
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Meta-analysis methods when studies are not normally distributed

Yesterday I was reading Kontopantelis & Reeves’s 2010 paper “Performance of statistical methods for meta-analysis when true study effects are non-normally distributed: A simulation study“, which compares fixed-effects and a variety of random effects models under the (entirely realistic) situation … Continue reading →

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Stats in bed, part 1: Ubuntu Touch

April 25, 2014
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Stats in bed, part 1: Ubuntu Touch

Round at the RSS Statistical Computing committee, we were having a chuckle at the prospect of a meeting about Stats In Bed. By which I mean analysis on mobile devices, phones and tablets (henceforth phablets), not some sort of raunchy … Continue reading →

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Beeps and progress alerts to your phone

April 9, 2014
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Beeps and progress alerts to your phone

Recently I encountered an R package called pingr, made by Rasmus Bååth (the same guy who did MCMC in a web page, my visualization of 2013). You install it, you type ping(), and it goes ping. Nice. In fact there … Continue reading →

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Data detective work: work out the numerator or denominator given a percentage

April 7, 2014
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Data detective work: work out the numerator or denominator given a percentage

Here’s some fun I had today. If you are looking at some published stats and they tell you a percentage but not the numerator & denominator, you can still work them out. That’s to say, you can get your computer … Continue reading →

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A simple R bootstrap function for beginners

March 5, 2014
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A simple R bootstrap function for beginners

I teach some introductory stats classes with SPSS, and one of the frustrations for me is that you have to pay an extra wad of cash to do any bootstrapping. It’s not exactly the complete analysis solution that you might … Continue reading →

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