Monthly Archives: March 2011

Empirical software engineering is five years old

March 31, 2011
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Empirical software engineering is five years old

Science and engineering are built on theoretical models that are tested against measurements of ‘reality’. Until around 10 years ago there was very little software engineering ‘reality’ publicly available; companies rarely made source available and were generally unforthcoming about any bugs that had been discovered. What happened around 10 years ago was the creation of

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What is R, really?

March 31, 2011
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What is R, really?

On CRAN, the official web home of all things R it says, R is a free software environment for statistical computing and graphics. Well, that sounds all hunky dory. But let’s take a close look at what this statement really … Continue reading →

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Revolution’s Chief Scientist: R is the Language of the Future

March 31, 2011
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Revolution Analytics' Chief Scientist Lee Edlefsen was a presenter at the Structure Big Data conference in New York last week. You can download the slides from his talk, The Coming Revolution in Statistics, here (PDF 418k). In his presentation, Lee states that "R is not only the statistical language of the present, in my opinion it is the language...

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Long EEM Short IWM-How it Works in 3 Ways

March 31, 2011
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Long EEM Short IWM-How it Works in 3 Ways

Long EEM Short IWM potentially works in 3 ways: 1) See my last post “Asian Currency Opportunity” where currency undervaluation means potential gain of 20-50% versus the US$ and 50%-100% versus the Japanese Yen.  However, even absent the underv...

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Asian Currency Opportunity

March 31, 2011
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Asian Currency Opportunity

Asian currencies are fundamentally undervalued at an extreme level due to the Central Banks’ focus on the US$.  For those that regularly read my blog or happened to see me in SmartMoney, this will not surprise you, “And investors can also buy...

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Baseball, T-tests and statistical surprises

March 31, 2011
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Baseball, T-tests and statistical surprises

Are MLB players better hitters now than they were 20 years ago? Revolution Analytics' Joseph Rickert uses R to take a look at the data, and offers an instructive lesson in checking your assumptions for statistical tests in the process -- Ed. Data are everywhere – but, even for simple things, I still seem to spend a too much...

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Image Classification Limits Part 2

March 31, 2011
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Recently i released the first 64-bit versions of Bio7 bundled with a 64-bit Java Virtual Machine. I’m always curious how far i can go using both applications together to do image analysis (especially classification) with huge images coming e.g. from satellites. The transfer of the images in Bio7 is realized with a combination of ImageJ

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Pair-Trading with S&P500 Companies – Part I.

March 30, 2011
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In my recent post I wrote the code to download historical data for companies included in S&P500 index. Today I would like to perform statistical procedures to identify whether certain pair of stocks is co-integrated or not. Since there are approximately 500 companies that means I will need to perform calculations of testing. First of

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Day #14 another R-course: S3 vs S4 modules

March 30, 2011
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Owkey, I told you i was going to keep you up to date on my course, so here it is. I needed to gain knowledge on how to flowcytometry. We started with looking at: why would we do Object Oriented Programming and seeing the difference between S3 and S4 mo...

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R + EC2 + RStudio Server

March 30, 2011
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R + EC2 + RStudio Server

I’ve been battling memory limits in R for over two years. Although R has numerous resources for high-performance computing, I still couldn’t get around hardware limitations. Things really got out of control last summer when I started analyzing data on how climate change influences population synchrony across large spatiotemporal gradients. My datasets were simply too

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