It's great for me when my friend Alberto Cairo lent a helping hand (link). Here is the original chart showing deaths in African and Middle East countries due to recent unrest: This is Cairo's redesign: There is no doubt the...

No great arguments or killer quips on either side of yesterday‘s bout. Keith has a story where someone wrote a computer program to write a fake Levi-Strauss article which was so convincing that Levi-Strauss thought he (Levi-Strauss) had written it himself. But Aron too got a bit predictable in his old age, so I don’t […] The post Ed Wood (3) vs. Phyllis Schlafly appeared first on Statistical Modeling, Causal…

Robin Gong writes: While we’re on the topic of visualization, I’ve been puzzled by a more general question and I’m unsure where it fits in actually. There seem to be two parts to a good visualization practice, and in our class we’ve been focusing more on one of them, that is “how to get my […] The post What to graph, not just how to graph it appeared first on…

Matrix algebra is the language of modern data analysis. We use it to develop and describe statistical and machine learning methods, and to code efficiently in languages such as R, matlab and python. Concepts such as principal component analysis (PCA) are best described with matrix algebra. It is particularly useful to describe linear models. Linear

Introduction I recently introduced how to use the count() function in the “plyr” package in R to produce 1-way frequency tables in R. Several commenters provided alternative ways of doing so, and they are all appreciated. Today, I want to extend that tutorial by demonstrating how count() can be used to produce N-way frequency tables […]

Thanks for our bracket-maker Paul Davidson, here’s what we have so far (as of a few days ago): OK, yesterday‘s winner: what can you say? Leonardo da Vinci vs. The guy who did Piss Christ. The funniest argument in all the comments came from Anonymous, who wrote: Serrano. Any schmuck can paint the Mona Lisa, […] The post Claude Levi-Strauss (4) vs. Raymond Aron appeared first on Statistical Modeling, Causal…

Jeff and I just this week published a commentary in the Proceedings of the National Academy of Sciences on our latest thinking on reproducible research and its ability to solve the reproducibility/replication "crisis" in science (there's a version on arXiv too). In a nutshell, we believe reproducibility (making data and code available so that others can

Michael Humphreys writes: Thought you might be interested in or might like to link to the following article. The statistical rigor is obviously not at a professional level, but pitched somewhere around the Bill Jamesian level. Here’s the link. This sort of thing makes me realize how out of it I am, when it comes […] The post Two Unrecognized Hall Of Fame Shortstops appeared first on Statistical Modeling, Causal…

We’re happy to announce the release of Stan 2.6, including RStan, PyStan, CmdStan; it will also work with the existing Stan.jl and MatlabStan. Although there is some new functionality (hence the minor version bump), this is primarily a maintenance release. It fixes all of the known memory issues with Stan 2.5.0 and improves overall speed […] The post Stan 2.6.0 Released appeared first on Statistical Modeling, Causal Inference, and Social…

Determining yesterday‘s winner turned out to be complicated. On the face of it, the decision should be easy. Bruno Latour is some postmodernist dude, whereas Albert Camus is one of the coolest men who’s ever lived. But, in comments, Kyle came in with a pretty powerful argument: I’m afraid you couldn’t get Camus to stay […] The post Leonardo da Vinci (1) vs. The guy who did Piss Christ appeared…

In this talk, Nigel Holmes talks about the value of and use of humor in communicating visualization. He also has some interesting criticism of academic visualization research (and also some more artistic pieces). It’s a fun and interesting tal...

I'm thinking about broad approaches ("general principles" below) for getting various kinds of forecasts from various kinds of forward-looking financial markets (under assumptions, of course, that typically include risk neutrality). Did I miss an...

A few months ago I posted on a paper by Bernard Tanguy et al. on a field experiment in Ethiopia where I couldn’t figure out, from the article, where was the empirical support for the claims being made. This was not the first time I’d had this feeling about a claim made in social science […] The post When the evidence is unclear appeared first on Statistical Modeling, Causal Inference,…

Felix Schönbrodt and I have been working on an R package called BayesFactorExtras. This package is designed to work with the BayesFactor package, providing features beyond the core BayesFactor functionality. Currently in the package are:Sequential Bay...

Stories are central to social science. It might be pleasant to consider stories as mere adornments and explications of theories that we develop and evaluate via formal data collection, but it seems that all of us—including statisticians!—rely on stories to develop our understanding of the social world. And therein lies a paradox: stories are valued […] The post “When Do Stories Work? Evidence and Illustration in the Social Sciences”: My…

Yesterday‘s winner: Thomas Kinkade. It was a tough call. Duchamp is far more impressive both as an artist and as an intellectual, but, as Jonathan put it in the very first comment in the thread: Duchamp has nothing to teach in an academic seminar: epater les bourgeois, reconceptualize art in a time of technological change, […] The post Albert Camus (1) vs. Bruno Latour appeared first on Statistical Modeling, Causal…