Monthly Archives: March 2014

analyze the european social survey (ess) with r

March 31, 2014
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with more than a decade of microdata aimed at gauging the political mood across european nations, the european social survey (ess) allows scientists like you to examine socio-demographic shifts among broad groups all the way down to pirate party (pirat...

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Correlation with constraints on pairs

March 31, 2014
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Correlation with constraints on pairs

An interesting question was posted on http://math.stackexchange.com/726205/…: if one knows the covariances  and , is it possible to infer ? I asked myself a question close to this one a few weeks ago (that I might also relate to a question I asked a long time ago, about possible correlations between three exchange rates, on financial markets). More precisely, if one knows the...

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Capturing Intraday data, Backup plan

March 31, 2014
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Capturing Intraday data, Backup plan

In the Capturing Intraday data post, I outlined steps to setup your own process to capture Intraday data. But what do you do if you missed some data points due for example internet being down or due to power outage your server was re-started. To fill up the gaps in the Intraday data, you could

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Predictive analysis in ecommerce

March 31, 2014
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Predictive analysis in ecommerce

Welcome to the blog post! We all know the predictive analysis is very hot topic now days. Everyone is looking for how the power of predictive analysis can be used in their business and get their business questions solved.  Recently, I was doing study on the predictive analysis in ecommerce. I found many interesting things The post Predictive...

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April Fools’ Day: The 7 Funniest Data Cartoons

March 31, 2014
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April Fools’ Day:  The 7 Funniest Data Cartoons

To give this years April Fools’ day a more analytical touch, we decided last week do a little poll on internet cartoons. We asked our friends and colleagues to select their favourite data related cartoon on the web, and organized a voting session to construct a top 5 list. (You can always share your own

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Process and observation uncertainty explained with R

March 31, 2014
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Process and observation uncertainty explained with R

Once up on a time I had grand ambitions of writing blog posts outlining all of the examples in the Ecological Detective.1 A few years ago I participated in a graduate seminar series where we went through many of the examples in this book. I am not a population biologist by trade but many of

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Exploratory data analysis on P/E ratio of Indian Stocks

March 31, 2014
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Exploratory data analysis on P/E ratio of Indian Stocks

Price Earnings ratio (P/E) is one of the very popular ratios reported with all stocks.  Very simply this is thought as - Current Market Price / Earning per Share.   An operational definition of Earning per Share would be Total profit divided by # of Shares .  I will redirect interested readers for further reading to www.investopedia.com/terms/p/price-earningsratio.asp In this post,...

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Moustache target distribution and Wes Anderson

March 31, 2014
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Moustache target distribution and Wes Anderson

Today I am going to introduce the moustache target distribution (moustarget distribution for brievety). Load some packages first. Let’s invoke the moustarget distribution. This defines a target distribution represented by a SVG file using RShapeTarget. The target probability density function is defined on and is proportional to on the segments described in the SVG files,

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R: Free, Popular, Powerful, Flexible and Supported

March 31, 2014
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R: Free, Popular, Powerful, Flexible and Supported

Francis Smart offers five excellent reasons to use R, in a well-researched post ideal for sharing with anyone thinking about making the switch to R. (You might also share this YouTube video for a quick 90-second introduction to R.) The post also includes a novel analysis of interest in R, as tracked by Google Trends. Given its single-letter name,...

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Probabilistic Momentum with Intraday data

March 30, 2014
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Probabilistic Momentum with Intraday data

I want to follow up the Intraday data post with testing the Probabilistic Momentum strategy on Intraday data. I will use Intraday data for SPY and GLD from the Bonnot Gang to test the strategy. Next, let’s examine the hourly perfromance of the strategy. There are lots of abnormal returns in the 9:30-10:00am box due

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