Posts Tagged ‘ R ’

Fitting a distribution in Stan from scratch

September 27, 2016
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Fitting a distribution in Stan from scratch

Last week the French National Institute of Health and Medical Research (Inserm) organised with the Stan Group a training programme on Bayesian Inference with Stan for Pharmacometrics in Paris. Daniel Lee and Michael Betancourt, who run the course over ...

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A book on RStan in Japanese: Bayesian Statistical Modeling Using Stan and R (Wonderful R, Volume 2)

September 26, 2016
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A book on RStan in Japanese: Bayesian Statistical Modeling Using Stan and R (Wonderful R, Volume 2)

Wonderful, indeed, to have an RStan book in Japanese: Kentarou Matsuura. 2016. Bayesian Statistical Modeling Using Stan and R. Wonderful R Series, Volume 2. Kyoritsu Shuppan Co., Ltd. Google translate makes the following of the description posted on Amazon Japan (linked from the title above): In recent years, understanding of the phenomenon by fitting a […] The post A book on RStan in Japanese: Bayesian Statistical Modeling Using Stan and…

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Windows 10 anniversary updates includes a whole Linux layer – this is good news for data scientists

September 24, 2016
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Windows 10 anniversary updates includes a whole Linux layer – this is good news for data scientists

If you are on Windows 10, no doubt you have heard that Microsoft included the bash shell in its 2016 Windows 10 anniversary update. What you may not know is that this is much, much more than just the bash shell. This is a whole Linux layer that enables...

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an inverse permutation test

September 22, 2016
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an inverse permutation test

A straightforward but probabilistic riddle this week in the Riddler, which is to find the expected order of integer i when the sequence {1,2,…,n} is partitioned at random into two sets, A and B, each of which is then sorted before both sets are merged. For instance, if {1,2,3,4} is divided in A={1,4} and B={2,3}, […]

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A Fun Gastronomical Dataset: What’s on the Menu?

September 20, 2016
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A Fun Gastronomical Dataset: What’s on the Menu?

I just found a fun food themed dataset that I’d never heard about and that I thought I’d share. It’s from a project called What’s on the menu where the New York Public Library has crowdsourced a digitization of their collection of historical ...

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Short Course on R and Data Mining, University of Canberra, Fri 7 Oct 2016

September 20, 2016
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Short Course on R and Data Mining, University of Canberra, Fri 7 Oct 2016

Short Course on R and Data Mining Information Technology and Engineering, University of Canberra Fees: There is no fees for the short course but seats are limited to 60 – so register early through http://www.meetup.com/CanberraDataSci/events/234168862/ Presenters: Dr Yanchang Zhao (Adjunct … Continue reading →

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Relative error distributions, without the heavy tail theatrics

September 20, 2016
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Relative error distributions, without the heavy tail theatrics

Nina Zumel prepared an excellent article on the consequences of working with relative error distributed quantities (such as wealth, income, sales, and many more) called “Living in A Lognormal World.” The article emphasizes that if you are dealing with such quantities you are already seeing effects of relative error distributions (so it isn’t an exotic … Continue reading Relative error distributions, without the heavy tail theatrics

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vecpack: an R package for packing stuff into vectors

September 18, 2016
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vecpack: an R package for packing stuff into vectors

Here’s a problem I’ve had again and again: let’s say you’ve defined a statistical model with several parameters. One of them is a scalar. Another is a matrix. The third one is a vector, and so on. When fitting the model the natural thing to do is to write a likelihood function that takes as […]

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How I made some Pokémon Business Cards

September 14, 2016
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How I made some Pokémon Business Cards

As I’m in the industry now I figured I needed some business cards and as it seems the 90s never left us and Japanese monsters are hip again, I decided to make them Pokémon themed. I think they turned out pretty well, and here I’m just going ...

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New features in imager 0.30

September 13, 2016
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New features in imager 0.30

imager is an R package for image processing, based on CImg. This new release brings many new features, including: Support for automatic parallel processing using OpenMP. A new S3 class, imlist, which makes it easy to work with image lists New functions for interactively selecting image regions (grabRect,grabPoint,grabLine) Experimental support for CImg’s byte-compiled DSL via […]

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