Are you new to version control and always running into trouble with Git? Or are you a seasoned user, haunted by the traumas of learning Git and reliving them whilst trying to teach it to others? Yeah, us too. Git is a version control tool designed for software development, and ...

A paper by Soheil Kolouri and co-authors was arXived last week about using Wasserstein distance for inference on multivariate Gaussian mixtures. The basic concept is that the parameter is estimated by minimising the p-Wasserstein distance to the empirical distribution, smoothed by a Normal kernel. As the general Wasserstein distance is ...

Earlier this year, I made a package that riffed off of ProPublica’s really neat voting cartograms (maps) for the U.S. House and Senate. You can see one for disaster relief spending in the House and one for the ACA “Skinny Repeal” in the Senate. We can replicate both ...

You can find this post in Blogdown format by clicking hereWhen it comes to analyzing survey data, you have to take into account the stochastic structure of the sample that was selected to obtain the data. Plots and graphics should not be an exception. ...

‘ImageMagick’ is one of the famous open source libraries available for editing and manipulating Images of different types (Raster & Vector Images). magick is an R-package binding to ‘ImageMagick’ for Advanced Image-Processing in R, authored by Jeroen Ooms. magick supports many common image formats like png, jpeg, tiff and manipulations like ...

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So one of the new features that I’ve working on is processing viz attributes. In the CRAN version of rgexf, the function read.gexf only reads in non-visual attributes and the graph structure itself, which is no longer true as of today (at least for the static viz attributes, ...

Prerequisites Analysis Summary The plotly package. A godsend for interactive documents, dashboard and presentations. For such documents there is no doubt that anyone would prefer a plot created in plotly rather than ggplot2. Why? Using plotly gives you neat and crucially interactive options at the top, where as ggplot2 objects ...

At long last, we are pleased to announce the release of CVXR! First introduced at useR! 2016, CVXR is an R package that provides an object-oriented language for convex optimization, similar to CVX, CVXPY, YALMIP, and Convex.jl. It allows the user to formulate convex optimization problems in a natural mathematical ...

Way back when I was studying algebra and wrestling with one word problem after another (I think now they call them story problems), I complained to my father. He laughed and told me to get used to it. “Life is one big word problem,” is how he put it. Well, ...

A few weeks ago, I wrote a post about finding word vectors using tidy data principles, based on an approach outlined by Chris Moody on the StitchFix tech blog. I’ve been pondering how to improve this approach, and whether it would be nice to wrap up some of these ...

Stan is probably the most interesting development in computational statistics in the last few years, at least for me. The version of Hamiltonian Monte-Carlo (HMC) implemented in Stan (NUTS, ) is extremely efficient and the range of probability distributions implemented in the Stan language allows to fit an extremely wide range ...