Of the nearly infinite ways of using crossfilter and dc.js in finance, the 2 that immediately came to my mind are signal analysis in system building and money manager analysis in due diligence. My first very basic experiment explores a commonly k...

So in the last post I showed how to run the Bayesian counterpart of Pearson’s correlation test by estimating the parameters of a bivariate normal distribution. A problem with assuming normality is that the normal distribution isn’t robust against outliers. Let’s see what happens if we take the data from the last post with the finishing times...

In this post, I calculate the highest value you should bid on each player in an auction draft—what I refer to as the "bid up to" value. In a previous post, I showed how to determine the best starting lineup to draft using an optimizer tool. The "bid up to" value is calculated by finding the highest cost...

A while ago, there was a question on Stackoverflow, Is there an equivalent R function to Stata ‘order’ command?. There isn’t really, and for the most part, you don’t really need one, but I decided that, for fun, I would write one anyway. Instead of operating directly on the data.frames, I decided to just work

Multicore (parallel) processing in R from Wallace Campbell on Vimeo. If you're not programming in parallel, you're only using a fraction of your computer's power! I demonstrate how to run "for" loops in parallel using the mclapply function from the multicore library. The code can be scaled to any number of available cores.

Revolution Analytics has teamed up with Cloudera to bring the scalable data manipulation and statistical modeling algorithms of Revolution R Enteprise to the massively-parallel computing environments of CDH3 and CDH4 Hadoop clusters. As ZDNet reports: Specifically, the upcoming version 7.0 of the Revolution R Enterpise distribution and its ScaleR algorithms will run inside CDH3 and CDH4, eliminating the need...

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Dr. Ramnath Vaidyanathan of McGill University gave an excellent presentation at a joint Data Visualization DC/Statistical Programming DC event on Monday, August 19 at nclud, on two R projects he leads — slidify and rCharts. After the evening, all I can say … Continue reading →
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