Monthly Archives: October 2012

What’s in My Pocket? Read it now! (or Read It Later)

October 9, 2012
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What’s in My Pocket? Read it now! (or Read It Later)

IntroductionYou know what's awesome? Pocket.I mean, sure, it's not the first. I think Instapaper existed a little before (perhaps). And there are alternatives, like Google Reader. But Pocket is still my favorite. It's pretty awesome at what it does.Pocket (or Read It Later, as it used to be known) has fundamentally changed the...

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New season of Grey’s Anatomy with Exponential Random Graph Models

October 8, 2012
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In a previous post we used the web of sexual contacts among characters on the Grey’s Anatomy television show to look at some social network analysis using R. To celebrate the beginning of the new season, Ben Lind has put … Continue reading →

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Laplace’s liberation army

October 8, 2012
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Laplace’s liberation army

Great as it is, Google does not always give the "best", or "right" (ie "most appropriate") results on a given search. For example, if you google "jags" (using google.co.uk), the first results are a girls' independent school and a sports club. The real JAGS (OK: real in a geeky, nerdy, statistical sense) only comes...

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lubridate 1.2.0 now on CRAN

October 8, 2012
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lubridate 1.2.0 now on CRAN

The latest version of lubridate offers some powerful new features and huge speed improvements. Some areas, such as date parsing are more than 50 times faster. lubridate 1.2.0 also fixes those pesky NA bugs in 1.1.0. Here’s some of what you’ll find: Parsers can now handle a wider variety date formats, even within the same

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In case you missed it: September 2012 Roundup

October 8, 2012
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In case you missed them, here are some articles from September of particular interest to R users. You can now browse the R-devel sources and changelogs at GitHub. R is used to create a 3-D animation of the Antarctic ice cap. At the DataWeek SF conference, R users from eBay, Intuit, Minted and other companies describe how R is...

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Another R + iButton script

October 8, 2012
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Previously I’ve detailed R scripts that automate the launching and downloading Maxim iButton thermochron data loggers. I’m typically doing the launching and downloading at separate times in my workflow, since I have duplicate iButtons to swap out, so separate scripts work for me. Ryan Knowles recently contributed a combined version of these scripts that downloads

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Product revenue prediction with R – part 2

October 8, 2012
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Product revenue prediction with R – part 2

After development of predictive model for transactional product revenue -(Product revenue prediction with R – part 1), we can further improvise the model prediction by modifications in the model. In this post, we will see what are the steps required for model improvement. With the help of a set of model summary parameters, the data

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Product revenue prediction with R – part 3

October 8, 2012
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Product revenue prediction with R – part 3

After development and improvement  of predictive model with R (as in the previous blog), I have focused here about making a prediction with the R model ( linear regression model ) and comparison with the Google prediction API model. In statistical modeling, R will calculate intercept and variable coefficients to describe the relationship between a

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Product revenue prediction with R – part 1

October 8, 2012
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Product revenue prediction with R – part 1

In my upcoming three blogs, I am going to discuss about how Product managers, Data analyst and Data scientists can develop model for the prediction of the transactional product revenue on the basis of user actions like total numbers of time product added to the cart, total numbers of time product added to the cart,

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Two ways that correlation and stepwise regression can give different results

October 8, 2012
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In general, a correlation test is used to test the association between two variables (y and z). However, if there is a third variable (x) that might be related to z or y, it makes...

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