Five levels of analytical automation
I have been thinking more about how programming that requires minimal human input is a virtue in computer science, and … More
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Articles by Robert
Introductory course on Bayesian data analysis for beginners with Rasmus Bååth
On 25 November 2019, BayesCamp will be hosting a one-day course called Get up and running with Bayesian data analysis, … More
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Books for sale!
I’m clearing out some books. You can buy them! They are all good ones, it’s just that I don’t need … More
Machine Learning explained for statistics folk
I’m running a one-day workshop called “From Statistics To Machine Learning” in central London on 28 October, for anyone who … More
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Randomisation tests comparing dependent correlations
This is about some academic work I did that never got published. But, I think it should be out there … More
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Data visualization with statistical reasoning: seeing uncertainty with the bootstrap
This blog post is one of a series highlighting specific images from my book Data Visualization: charts, maps and interactive … More
A webinar and online workshop for learning Bayesian analysis
I am running a couple of online events through BayesCamp next month that might interest you if you want to … More
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A one-day course in using Stata and R together: running twice in 2018
I am going to be giving this course on 10 August and 6 December this year. It is organised by … More
Using Stata and R together
I’m running a one day course with Timberlake, Stata’s UK distributors on this topic. We’ll run it next Friday the … More
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SVG from stats software: the good, the bad and the ugly
What and why If there could only be one file format to save your charts in, it should be SVG. … More
Dataviz of the week, 12/4/17
This week, a chart with some Bayesian polemic behind it. Alexander Etz put this on Twitter: He is working on an R package to provide easy Bayesian adjustments for reporting bias with a method by Guan & Vandekerchhove. Imagine a study … Continue reading →
Dataviz of the week: 8/3/17
Corinne Riddell posted this on Twitter. It’s one version of multiple time series that she tried out, one for each USA state. It’s not the finished article, but is really nice for its combination of that recognisable shape (I … Continue reading →
So you want to be a Data Science superstar
Big house? Five cars? There’s no one universal way to do it, but get a coffee and read on through this bumper post to find your own way with the advice of real experts. Last summer, Mrs G and I … Continue reading → [Read more...]
Everything you need to make R Commander locally (packages, dependencies, zip files)
I’ve been installing R Commander on laptops for our students to use in tutorials. It’s tedious to put each one online with my login, download it all, then disable the internet (so they don’t send lewd e-mails to the vice-chancellor … Continue reading → [Read more...]
Showing a distribution over time: how many summary stats?
I saw this nice graph today on Twitter, by Thomas Forth: but the more I looked at it, the more I felt it was hard to understand the changes over time across the income distribution from the Gini coefficient and … Continue reading →
St Swithun’s Day simulator
I got a bit bored (sorry Mike), and wrote this. I didn’t take long (I tell you that not so much to cover my backside as to celebrate the majesty of R). First, I estimated probabilities of a day being … Continue reading → [Read more...]
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 → [Read more...]
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 →
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
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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