Monthly Archives: August 2012

Cheat sheet for prediction and classification models in R

August 9, 2012
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Cheat sheet for prediction and classification models in R

Ricky Ho has created a reference a 6-page PDF reference card on Big Data Machine Learning, with examples implemented in the R language. (A free registration to DZone Refcardz is required to download the PDF.) The examples cover: Predictive modeling overview (how to set up test and training sets in R) Linear regression (using lm) Logistic regression (using glm)...

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The Relative Importance of Predictors – Let the Games Begin!

August 9, 2012
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The Relative Importance of Predictors – Let the Games Begin!

What's the one thing we need to do?Marketing researchers are asked this question frequently whenever they analyze customer satisfaction data.  A company wishing to increase sales or limit churn wants to focus only on the most important determinants of those outcomes.   Given the limitations imposed by the available customer survey data, this strategic question is transformed quickly into a methodological one concerning how...

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Exploring distributions of Ensatina salamander subspecies using rvertnet by Neil Kelly

August 9, 2012
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Exploring distributions of Ensatina salamander subspecies using rvertnet by Neil Kelly

This week we have a guest blog post by Neil Kelley Last week, I stumbled on Vijay’s blog post demonstrating his new package rvertnet. Although I am a paleontologist, some of my research involves anatomical comparison between extinct species and extant relatives or ecological analogs, so I have some experience using VertNet to track down

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Interviews

August 9, 2012
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I’ve been interviewed twice in the last year: For DecisionStats, 9 August 2012. For Data Mining Research, 21 October 2011. Republished in Amstat News, 1 December 2011. Some readers of this blog might find them interesting. I said a few things in t...

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Show me yours and I’ll show you mine

August 9, 2012
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Show me yours and I’ll show you mine

I remember when I started with R, there was little processing power directed toward an IDE. I had enough problems with the syntax, loops and the like and R gui seemed adequate. When I started working on a heavy project, I had to knock it up a notch (bam!). After weeks of trial and error

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Minimum Expected Shortfall Portfolio, Part 1

August 8, 2012
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A few days ago, I wrote a piece on finding the minimum expected shortfall portfolio.  A few astute commenters quickly picked up where I was going with this -- using this as an alternative to low/minimum volatility portfolios.  What follo...

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RcppBDT 0.2.1

August 8, 2012
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A new bug-fix release of the RcppBDT package appeared on CRAN earlier today. David Reiner noticed that the functions getEndOfMonth and getEndOfBizWeek were not working right. These are convenience wrappers around the real functionality provided as a ...

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The top 10 critical packages on CRAN

August 8, 2012
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The top 10 critical packages on CRAN

While most R packages on CRAN are designed to be used by an R user directly, a few packages are designed to be used by other package developers. (And some packages are so useful that they're regularly used by both camps.) When a package author publishes a package to CRAN, she must list those packages that provide functions her...

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“Trend is Not Your Friend” Applied to 48 Industries

August 8, 2012
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“Trend is Not Your Friend” Applied to 48 Industries

Please see previous post Crazy RUT in Academic Context Why Trend is Not Your Friend. I’ll repeat the intro to the post mentioned above, so we can all get caught back up. In response to Where are the Fat Tails?, reader vonjd very helpfully referred me...

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If you are into large data and work a lot with package ff

August 8, 2012
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If you are into large data and work a lot with package ff

The ff package is a great and efficient way of working with large datasets.  One of the main reasons why I prefer to use it above other packages that allow working with large datasets is that it is a complete set of tools. When comparing it to the other open source 'bigdata' packages in R It is not...

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