Monthly Archives: December 2013

How fair is White Elephant?

December 24, 2013
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How fair is White Elephant?

This article was first published on analyze stuff. It has been contributed to Anything but R-bitrary in celebration of its introductory post.By Max Ghenis Welcome to analyze stuff! For our first post, I wanted to reflect on the time of year; after all, ‘tis the season for hams and yams, caroling and sledding, and of...

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24 Days of R: Day 24

December 24, 2013
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24 Days of R: Day 24

OK, so I phoned it in last night. Final post and maybe this one will be a bit better. Can't recall what got me thinking about it, but I was running over the issue of school performance and the erroneous notion that small class sizes will produce better students. This is occasionally debunked, but I

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Combining the Power of DeployR, rCharts, and AngularJS

December 24, 2013
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by Sheri Gilley, Principal UI Designer at Revolution Analytics Revolution R Enterprise DeployR is a server framework that exposes the R platform as a service allowing the integration of R statistics, analytics and visualizations inside Web, desktop and mobile applications. DeployR’s framework allows users to store and serve up R code that can then easily be used and reused...

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Sentence Drawing: Part II

December 23, 2013
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Sentence Drawing: Part II

In a recent blog post I introduced Stefanie Posavec‘s Sentence Drawings. We created this ggplot2 rendition: We left off weighing the aesthetics of the Sentence Drawing with information of quality visualizations. I asked others to think of ways to display … Continue reading →

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RcppZiggurat 0.1.0 (and 0.1.1): Faster N(0,1) RNGs

December 23, 2013
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Over the last few weeks I have been working on getting the Ziggurat normal random number generator updated and available in R. The Ziggurat generator provides a pretty unique combination of speed and good statistical properties for (standard) normal r...

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24 Days of R: Day 23

December 23, 2013
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24 Days of R: Day 23

Penultimate post, I'm going to take a quick look at the Gini indicator for wealth inequality. Data comes from the World Bank. I've downloaded the zipped file, decompressed it and given it a different name. I'm going to This will give us a decent set of data. How does this look when we plot it?

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Apache Spark for Big Analytics

December 23, 2013
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Apache Spark for Big Analytics

by Thomas Dinsmore, Director of Product Management at Revolution Analytics The emergence of Apache Spark is a key development for Big Analytics in 2013. Spark, an Apache incubator project, is an open source distributed computing framework for advanced analytics in Hadoop. Originally developed as a research project at UC Berkeley's AMPLab, the project achieved incubator status in Apache in...

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New book release: Data Mining Applications with R

December 23, 2013
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New book release: Data Mining Applications with R

Book title: Data Mining Applications with R Editors: Yanchang Zhao, Yonghua Cen Publisher: Elsevier Publish date: December 2013 ISBN: 978-0-12-411511-8 Length: 514 pages URL: http://www.rdatamining.com/books/dmar An edited book titled Data Mining Applications with R was released in December 2013, which … Continue reading →

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Further adventures with higher moments

December 23, 2013
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Further adventures with higher moments

Additional views of the stability of skewness and kurtosis of equity portfolios. Previously A post called “Four moments of portfolios” introduced the idea of looking at the stability of the mean, variance, skewness and kurtosis of portfolios through time. That post gave birth to a presentation at the London Quant Group. That talk gave birth … Continue reading...

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Calculating Customer Lifetime Value with Recency, Frequency, and Monetary (RFM)

December 23, 2013
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Calculating Customer Lifetime Value with Recency, Frequency, and Monetary (RFM)

Introducing Customer Lifetime Value (CLV) Customer Lifetime Value is “the present value of the future cash flows attributed to the customer during his/her entire relationship with the company.”1 There are different kinds of formulas, from simplified to advanced, to calculate CLV.  But the following one might be the one being used most commonly:- Where, t

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