Monthly Archives: April 2013

Halo Effects vs. Intention-Laden Ratings: Separating Baby and Bathwater

April 8, 2013
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Halo Effects vs. Intention-Laden Ratings: Separating Baby and Bathwater

Are halo effects real or illusory?  Much has been written arguing that rating scales contain extensive amounts of measurement bias.  Some tells us to avoid ratings altogether (What do customers really want?).  Others warn against the use of ratings scales without major adjustments (e.g., overcoming scale usage heterogeneity with the R package bayesm).  Obviously, by including the...

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More variables, spinoff projects, and RuPaul’s Drag Race season 5 predictions: episode 10

April 8, 2013
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More variables, spinoff projects, and RuPaul’s Drag Race season 5 predictions: episode 10

Last week, Alyssa got the boot and Jinkx kept her place. And I totally called it with my first model that accounted for the proportional hazards assumption. I think the model is having a little more success as the season plods on. Before I get to the predictions for episode 10, there’s two really interesting… Continue reading →

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Spring Cleaning Data: 1of 6- Downloading the Data & Opening Excel Files

April 8, 2013
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With spring in the air, I thought it would be fun to do a series on (spring) cleaning data. The posts will follow my efforts to to download the data, import into R, cleaned it up, merge the different files, add columns of information created, and then ...

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Starting Analysis and Visualisation of Spatial Data with R

April 8, 2013
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Starting Analysis and Visualisation of Spatial Data with R

Last week I ran an introductory workshop on the analysi

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Dynamic Wrapping and Recursion with Rcpp

April 8, 2013
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Dynamic Wrapping and Recursion with Rcpp

We can leverage small parts of the R’s C API in order to infer the type of objects directly at the run-time of a function call, and use this information to dynamically wrap objects as needed. We’ll also present an example of recursing through a list. To get a basic familiarity with the main functions exported from R API, I...

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Next Kölner R User Meeting: 12 April 2013

April 8, 2013
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Next Kölner R User Meeting: 12 April 2013

Quick reminder: The next Cologne R user group meeting is scheduled for this Friday, 12 April 2013. We will discuss cluster analysis and shiny. Further details and the agenda are available on our KölnRUG Meetup site. Please sign up if you would like to come along. Notes from the last Cologne R user group meeting are...

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analyze the pesquisa nacional por amostra de domicilios (pnad) with r

April 7, 2013
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think of the pesquisa nacional por amostra de domicilios (pnad) as the brazilian census for off-years - the ones that don't end in zero.  the principal household survey for the nation of brazil, pnad measures general education, labor, income, and ...

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Dirichlet Process, Infinite Mixture Models, and Clustering

April 7, 2013
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Dirichlet Process, Infinite Mixture Models, and Clustering

The Dirichlet process provides a very interesting approach to understand group assignments and models for clustering effects.   Often time we encounter the k-means approach.  However, it is necessary to have a fixed number of clusters.  Often we encounter situations where we don’t know how many fixed clusters we need.  Suppose we’re trying to identify

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A quick guide to non-transitive Grime Dice

April 7, 2013
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A quick guide to non-transitive Grime Dice

A very special package that I am rather excited about arrived in the mail recently. The package contained a set of 6-sided dice. These dice, however, don’t have the standard numbers one to six on their faces. Instead, they have assorted numbers between zero and nine. Here’s the exact configuration: Aside from maybe making for

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Venue Recommendation – A Simple Use Case Connecting R and Neo4j

April 7, 2013
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Venue Recommendation – A Simple Use Case Connecting R and Neo4j

Last month I attended the CeBIT trade fair in Hannover. Besides the so called “shareconomy” there was also another main topic across all expedition halls - Big Data. This subject is not completely new and I think that a lot of you also have experiences with some of the tools associated with Big Data. But due to the great...

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