Monthly Archives: May 2013

Parallel Processing: When does it worth?

May 29, 2013
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Parallel Processing: When does it worth?

Most computers nowadays have few cores that incredibly help us with our daily computing duties. However, when statistical softwares do use parallelization for analyzing data faster? R, my preferred analytical package, does not take too much advantage of multicore processing by default. In fact, R has been inherently a “single-processor” package until nowadays. Stata, another

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Two forthcoming R books

May 29, 2013
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Two forthcoming R books

Today I learned about two forthcoming R books that I'm now looking forward to. The first is Applied Predictive Modeling by Max Kuhn and Kjell Johnson. Max Kuhn is the author of the caret package, an extremely useful and powerful R package for fitting and optimizing all kinds of predictive models in R. It's available now on Amazon Kindle...

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Shiny talk by Joe Cheng

May 29, 2013
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Shiny talk by Joe Cheng

Shiny is a framework work for creating web applications with R. Joe Cheng of RStudio, Inc. presented on Shiny last evening in Zillow's offices 30 stories up in the former WaMu Center. Luckily, the talk was interesting enough to compete with the view ...

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Look Familiar? Mapping in R

May 29, 2013
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Look Familiar? Mapping in R

For those who have been following the R-Bloggers this picture should be yesterdays news, but there was an article on the BBC on it, full story HERE. I find it interesting how it was on Drudge Report (www.drudgereport.com) which gets over 1 million hits...

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Futile.logger 1.3.3 RC available

May 29, 2013
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Futile.logger 1.3.3 RC available

This is a preview release of futile.logger 1.3.3 so some people with feature requests can try out the code before …Continue reading »

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Convert IP addresses to geolocation, latitude and longitude etc etc

May 29, 2013
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Convert IP addresses to geolocation, latitude and longitude etc etc

Whoa! Now this is cool. It turns out there is a database at freegeoip.net which you can query for the location of a particular IP address. And as it has a neat little API for batches of IPs, you can … Continue reading →

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Data sonification with R: the sound of Twitter data

May 29, 2013
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Data sonification with R: the sound of Twitter data

What does a tweet sound like? Not the kind that flies around in the air, but the kind that zips to and from our mobile devices. I’m intensely interested in finding ways to make sense of data. Sonification of data – representing data with sound – offers one way to do that. This post steps

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SAS Dominates Analytics Job Market; R up 42%

May 29, 2013
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SAS Dominates Analytics Job Market; R up 42%

I’m continuing to gather and analyze data to update The Popularity of Data Analysis Software. In this installment I cover the latest employment figures. Employment is important to us all, so what software skills are employers seeking? A thorough answer … Continue reading →

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Analysis of Cable Morning Trade Strategy

May 29, 2013
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Analysis of Cable Morning Trade Strategy

A couple of years ago I implemented an automated trading algorithm for a strategy called the “Cable Morning Trade”. The basis of the strategy is the range of GBPUSD during the interval 05:00 to 09:00 London time. Two buy stop orders are placed 5 points above the highest high for this period; two sell stop

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Stepping up to Big Data with R and Python: A Mind Map of All the Packages You Will Ever Need

May 29, 2013
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Stepping up to Big Data with R and Python: A Mind Map of All the Packages You Will Ever Need

On May 8, we kicked off the transformation of R Users DC to Statistical Programming DC   (SPDC) with a meetup at iStrategyLabs in Dupont Circle. The meetup, titled “Stepping up to big data with R and Python,” was an … Continue reading →The post Stepping up to Big Data with R and Python: A Mind Map...

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