Monthly Archives: June 2013

Time Is on My Side – A Small Example for Text Analytics on a Stream

June 23, 2013
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Time Is on My Side – A Small Example for Text Analytics on a Stream

Introduction and Background While my last posting was about recommendation in the context of Location Based Social Networks there are also other interesting topics regarding the analysis of unstructured data. The most established one is probably Text Analytics/Mining focusing on all sorts of text data.For me, coming from spatial analysis, these topic is relatively new but I couldn’t help noticing...

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Got Bootstrap?

June 23, 2013
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Got Bootstrap?

This week I read the book by Michael Chernick and Robert LaBudde, An Introduction to Bootstrap Methods with Applications to R. It’s an interesting oeuvre for useRs of all stripes. I strongly recommend check it out. The book brings lots of examples of bootstrapping applications, such as standard errors, confidence intervals, hypothesis testing, and even

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GRNN and PNN

June 23, 2013
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GRNN and PNN

From the technical prospective, people usually would choose GRNN (general regression neural network) to do the function approximation for the continuous response variable and use PNN (probabilistic neural network) for pattern recognition / classification problems with categorical outcomes. However, from the practical standpoint, it is often not necessary to draw a fine line between GRNN

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Generating Alerts From Guardian University Tables Data

June 23, 2013
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Generating Alerts From Guardian University Tables Data

One of the things I’ve been pondering with respect to the whole data journalism process is how journalists without a lot of statistical training can quickly get a feel for whether there may be interesting story leads in a dataset, or how they might be able to fashion “alerts” that bring attention to data elements

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FuzzyNumbers-0.3-1 released

June 23, 2013
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A new version of the FuzzyNumbers package for R has just been submitted to the CRAN archive. Check out our step-by-step tutorial. ** FuzzyNumbers Package CHANGELOG ** ********************************************************************* 0.3-1 /2013-06-23/ * piecewiseLinearApproximation() - general case (any knot.n) for method="NearestEuclidean" now…Read more ›

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Prototyping A General Regression Neural Network with SAS

June 22, 2013
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Prototyping A General Regression Neural Network with SAS

Last time when I read the paper “A General Regression Neural Network” by Donald Specht, it was exactly 10 years ago when I was in the graduate school. After reading again this week, I decided to code it out with SAS macros and make this excellent idea available for the SAS community. The prototype of

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Advanced Graphics I

June 22, 2013
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Advanced Graphics I

Polygon is a such handy function in R for drawing beautiful charts where we can select regions (polygons) of the surface. It’s quite useful for indicating confidence regions of parameters, predictions for time-series, or areas under distributions:

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Calling C++ from R using Rcpp

June 22, 2013
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Why call C/C++ from R? I really like programming in R. The fact that it is open source immediately wins my favour over Matlab. It can, however, be quite slow especially if you “speak” R with a strong C/C++ accent. This sluggishness, especially when writing unavoidable for loops, has led me to consider other programming The post Calling...

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What is “Practical Data Science with R”?

June 22, 2013
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What is “Practical Data Science with R”?

A bit about our upcoming book “Practical Data Science with R”. Nina and I share our current draft of the front matter from the book, which is a description which will help you decide if this is the book for you (we hope that it is). Or this could be the book that helps explain Related posts:

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Optimization

June 22, 2013
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Optimization

Many problems in statistics or machine learning are of the form "find the values of the parameters that minimize some measure of error". But in some cases, constraints are also imposed on the parameters: for instance, that they should sum up to 1, or that at most 10 of them should be non-zero -- this adds a combinatorial layer to the...

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