Monthly Archives: November 2011

Do we need to deal with ‘big data’ in R?

November 22, 2011
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Do we need to deal with ‘big data’ in R?

David Smith at the Revolutions blog posted a nice presentation on “big data” (oh, how I dislike that term). It is a nice piece of work and the Revolution guys manage to process a large amount of records, starting with … Continue reading →

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Sermon Sentiment Analysis

November 22, 2011
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Sermon Sentiment Analysis

Matt Chandler vs. Mark Driscoll I came across an interesting API from Viral Heat which is capable of “Sentiment Analysis.” This analysis is designed to capture the sentiment of a statement by ranking it on a scale from -1 to 1. For instance, a chipper sentence like “The smell of roses makes me giddy!” is

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RPostgreSQL 0.2-0, 0.2-1 and an unsung Open Source hero

November 21, 2011
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RPostgreSQL goes back to a topic suggestion I had made for the Google Summer of Code 2008, and specifically for the R Project participation that year. And Sameer Kumar Prayaga (whom I then mentored for the project) did a fine job that summer putting t...

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Revolution R Enterprise 5.0 now available for free academic download

November 21, 2011
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Revolution R Enterprise 5.0, which we announced last week, is now available for free download to students and faculty at academic institutions worldwide. If you've downloaded Revolution R Enterprise via the academic program before and are on the mailing list, you will have already received an email with download instructions; if not, just complete the form linked below and...

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Popular Baby Names Walk-Through Part 2 – Graphing the fast movers

November 21, 2011
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Popular Baby Names Walk-Through Part 2 – Graphing the fast movers

I will assume you have read through part 1 and have the csv file loaded. While we covered some basic graphing in the last post i hope to get into a little more of the data crunching. Specifically I am interested in the names which where driven by a spe...

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A Simple R Script for Traders

November 21, 2011
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A Simple R Script for Traders

Now that we've got the Python implementation under out belts, let's do the same thing with R. We'll still be able to pass command-line arguments to get a quick look at what our stock of interest is doing during the day. And we start with the familiar i...

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Functional and Parallel time series cross-validation

November 21, 2011
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Functional and Parallel time series cross-validation

Rob Hyndman has a great post on his blog with example on how to cross-validate a time series model.  The basic concept is simple:  You start with a minimum number of observations (k), and fit a model (e.g. an arima model) to those observation...

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Magical Russell 2000

November 21, 2011
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Magical Russell 2000

I have marveled at the magical Russell 2000 in Crazy RUT, but I am still surprised at its behavior through this selloff.  With a 20-day move of 30% (6% in one hour) and big outperformance to the developed and developing world, the Russell 2000 con...

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Quick-R Gets a Blog

November 21, 2011
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Quick-R Gets a Blog

After maintaining the  Quick-R website (R tutorials and jumpstart) for the past 5 years, I’ve decided to add a blog so that I can go into more detail on topics related to practical data analysis. The statMethods blog will contain articles … Continue reading →

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Asynchrony in market data

November 21, 2011
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Asynchrony in market data

Be careful if you have global daily data. The issue Markets around the world are open at different times.  November 21 for the Tokyo stock market is different from November 21 for the London stock market.  The New York stock market has yet a different November 21. The effect The major effect is that correlations … Continue reading...

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