Monthly Archives: November 2013

Introduction to Fractals

November 3, 2013
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Introduction to Fractals

A short while ago I was contracted to write a short piece entitled “Introduction to Fractals”. The article can be found here. Admittedly it is hard to do justice to the topic in less than 1000 words. Both of the illustrations were created with R. Mandelbrot Set The Mandelbrot Set image was created using the

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2013-11 Automatic Conversion of Tables to LongForm Dataframes

November 3, 2013
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TableToLongForm automatically converts hierarchical Tables intended for a human reader into a simple LongForm Dataframe that is machine readable, hence enabling much greater utilisation of the data. It does this by recognising positional cues present in the hierarchical Table (which … Continue reading →

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Unusual timing shows how random mass murder can be (or not)

November 3, 2013
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Unusual timing shows how random mass murder can be (or not)

This was one headline in the USA Today I picked from the hotel lobby on my way to Pittsburgh airport and then Toronto this morning. The unusual pattern was about observing four U.S. mass murders happening within four days, “for the first time in at least seven years”. The article did not explain why this

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The Rise, Fall and Rise of English Triple Crown Racing Speeds

November 3, 2013
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The Rise, Fall and Rise of English Triple Crown Racing Speeds

A horse with a crimson “6” displayed on either side of its girth processes to the parade ring. There are people milling about, looking over “Six” as well as the other entrants for the 2013 running of the St. Leger Stakes. Alongside Six stands a very short, wiry man dressed in a matching crimson outfit. He speaks with the trainer in hushed...

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Dream Team – combining Tableau and R

November 3, 2013
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Dream Team – combining Tableau and R

Last quarter was a bit too busy to write some new blog post because of a new job. And changing the job often come along with changing the tools you work with. That was my way to Tableau. Tableau is one of the new stars in the BI/Analytics world and definitely worth a look. The people at Tableau...

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A Rather Nosy Topic Model Analysis of the Enron Email Corpus

November 3, 2013
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A Rather Nosy Topic Model Analysis of the Enron Email Corpus

Having only ever played with Latent Dirichlet Allocation using gensim in python, I was very interested to see a nice example of this kind of topic modelling in R.  Whenever I see a really cool analysis done, I get the … Continue reading →

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Simulating Abstract Art with R

November 3, 2013
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Simulating Abstract Art with R

Piet Mondrian Composition with Red, Blue, Black, Yellow, and Gray (1921): An example draw from my simulation function: We're in the midst of planning our spring course on Empirical Research Methods, and as a result, I've...

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Statistical aspects of two-way cross-over studies

November 3, 2013
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I ran into this presentation on Statistical aspects of two-way cross-over studies by Ing. Helmut Schütz (http://bebac.at). He presented some code and referred to the bear package. The bear package is menu driven, which is not my thing. I had to try and do that in R via other packages. The aim is to estimate if the...

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Les k-plus prcoches voisins :Vite, il faut se la réapproprier…

November 2, 2013
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Les k-plus prcoches voisins :Vite, il faut se la réapproprier…

(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) K-plus proches voisins K-plus proches voisins Fondamentaux La notion de voisinage d'un point est assez intuitive. Une définition simple serait : une zone de l'espace qui comprend ce point. C'est une notion centrale en mathématique, particulièrement en analyse lorsqu'on souhaite unifier la notion de...

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Consumer’s Choosing an Optimal Bundle – Utility Maximization

November 2, 2013
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Consumer’s Choosing an Optimal Bundle – Utility Maximization

# The theoretical basis of classical consumer theory lies# in utility maximization. The idea is that consumers# make consumption decisions based on choosing a bundle # of goods that will maximize individual utility.# Despite this hypothesis being large...

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