Monthly Archives: March 2010

InformationWeek on Urlocker

March 5, 2010
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InformationWeek published today a profile of Zack Urlocker, the former MySQL executive who recently joined REvolution's board: Former MySQL staffer Zack Urlocker is going to try to do for predictive analytics what he once did for relational database systems: bring open source code to a user population that hasn't necessarily had access to the technology before. REvolution Computing of...

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Because it’s Friday: Why a Salad Costs More than a Big Mac

March 5, 2010
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Because it’s Friday: Why a Salad Costs More than a Big Mac

In the US, at least. Via The Consumerist: Incidentally, the US FDA doesn't publish pyramids like this any more: it's now a garish personalized 2-d triangle with stripes. But at least it doesn't make the error of dimension committed by the left-hand pyramid: that orange section is a hell of a lot larger than 74% of the volume. The...

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GLMM revisted

March 5, 2010
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GLMM revisted

A short while ago, I reported some discrepancies between the results produced by "lme4" and other R packages as well as Stata. Today I upgraded to the most recent version of "lme4a" and re-ran my model. The error of false convergence disappea...

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R amusements

March 5, 2010
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R amusements

On a lark, and to kill a bit of time, I was running the R fortune command looking for references to SAS. Here’s what two successive random fortunes turned up. Can there be two more antipodal opinions about the same product? I laughed out loud. > fortune(‘SAS’) There are companies whose yearly license fees to

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Example 7.25: compare draws with distribution

March 5, 2010
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Example 7.25: compare draws with distribution

In example 7.24, we demonstrated a Metropolis-Hastings algorithm for generating observations from awkward distributions. In such settings it is desirable to assess the quality of draws by comparing them with the target distribution.Recall that the dis...

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Getting data from an image (introductory post)

March 5, 2010
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Getting data from an image (introductory post)

Hi there! This blog will be dedicated to data visualization in R. Why? Two reasons. First, when it comes to statistics, I am always starting by some exploratory analyses, mostly with plots. And when I handle large quantities of data, it’s nice to make some graphs to get a grasp about what is going on.

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Accessing Climate Change Data and a Custom Panel Function for Filled Polygons

March 4, 2010
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Accessing Climate Change Data and a Custom Panel Function for Filled Polygons

GCS Model Grids Recently finished some collaborative work with Vishal, related to visualizing climate change data for the SEI. This project was funded in part by the California Energy Commission, with additional technical support from the Google Earth Team. One of the final products was an...

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An email about mixtures

March 4, 2010
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An email about mixtures

As a coincidence, or not, I received the following email just before starting our mixture estimation workshop (the above is Ben Nevis on Monday, whose skyline really looks like a three component mixture!) and giving a discussion on label switching: I am implementing a Markov-Chain Monte Carlo method for Gibbs sampling from a simple mixture

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Yet Another plyr Example

March 4, 2010
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Yet Another plyr Example

another plyr example quantiles (0.05, 0.25, 0.5, 0.75, 0.95) of DSC by temperature bin There are plenty of good examples on how to use functions from the plyr package. Here is one more, demonstrating how to use ddply with a custom function. Note that there...

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More on the Economist’s special report on big data

March 4, 2010
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I totally missed this the other day, but there's much more to that special report on the data deluge in The Economist. (Thanks to readers SB and DN for pointing this out.) There's an total of nine articles in the report (you can find them all in the Related Items box on this page), including a section on business...

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