1596 search results for "regression"

Maximize Your Expectations!

January 30, 2013
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Maximize Your Expectations!

A Problem A major problem in secondary data analysis is that you didn't get to decide what data was collected. Lets say you were interested in how many times a student has read the Twilight books). Specifically, you want to know how effective the ads for...

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F1Stats – Visually Comparing Qualifying and Grid Positions with Race Classification

January 30, 2013
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F1Stats – Visually Comparing Qualifying and Grid Positions with Race Classification

Following the roundabout tour of F1Stats – A Prequel to Getting Started With Rank Correlations, here’s a walk through of my attempt to replicate the first part of A Tale of Two

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Modeling Residential Electricity Usage with R

January 30, 2013
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Modeling Residential Electricity Usage with R

Wow, I can’t believe it has been 11 months since my last blog posting!  The next series of postings will be related to the retail energy field.  Residential power usage is satisfying to model as it can be forecast fairly accurately with the right inputs.  Partly as a consequence of deregulation there is now more data more available than...

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Disruptive Data Science – Transforming Your Company into a Data Science-Driven Enterprise

January 29, 2013
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Disruptive Data Science – Transforming Your Company into a Data Science-Driven Enterprise

Big Data is the latest technology wave impacting C-Level executives across all areas of business, but amid the hype, there remains confusion about what it all means. The name emphasizes the exponential growth of data volumes worldwide (collectively, 5 Exabytes/ day in the latest estimate I saw from IDC), but more nuanced definitions of Big Data incorporate the following...

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The "golden age" of a football player

January 28, 2013
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The "golden age" of a football player

It's been some time since my last post on football. And we're talking about european soccer here. So I finally managed to write some functions which allow me to extract player stats from www.transfermarkt.de. The site tracks lots of stats in the world of soccer. For each player, there is information about the dominant foot, height, age, the estimated...

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analyze the survey of consumer finances (scf) with r

January 28, 2013
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the survey of consumer finances (scf) tracks the wealth of american families.  every three years, more than five thousand households answer a battery of questions about income, net worth, credit card debt, pensions, mortgages, even the lease on th...

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A slightly different introduction to R, part II

January 27, 2013
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A slightly different introduction to R, part II

In part I, we looked at importing data into R and simple ways to manipulate data frames. Once we’ve gotten our data safely into R, the first thing we want to do is probably to make some plots. Below, we’ll make some simple plots of the made-up comb gnome data. If you want to play

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Object Orientation in R – Notes from a novice

January 25, 2013
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Object Orientation in R – Notes from a novice

Having posted some code to Git a few days ago and having been wholly dissatisfied with it, I began to do what I often do with code I don’t like. I started re-writing it bigger and weirder and more philosophically pure. Part of this search for Platonic code lead me to explore object oriented programming

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No more ascii-art

January 24, 2013
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No more ascii-art

At least fourfive R packages will turn your regression models into pretty latex tables: texreg, xtable, apsrtable, memisc, and stargazer.  This is very nice if you happen to be a latex document or its final reader, but it’s not so great if you’re making those models to start with. What if you wanted to see

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New book announcement: R and Data Mining – Examples and Case Studies

January 23, 2013
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New book announcement: R and Data Mining – Examples and Case Studies

R and Data Mining: Examples and Case Studies Author: Yanchang Zhao Publisher: Academic Press, Elsevier Publish date: December 2012 ISBN: 978-0-12-396963-7 Length: 256 pages URL: http://www.rdatamining.com/books/rdm This book introduces into using R for data mining with examples and case studies. … Continue reading →

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