Monthly Archives: July 2013

Coming back from Albacete (useR conference 2013)…

July 15, 2013
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Dear MilanoR friends, I am just back from UseR 2013 in Albacete (Spain) and I would like to share. Thanks First of all I would like to thank all staff from the conference organizer committee and personnel for the excellent … Continue reading →

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analyze the surveillance epidemiology and end results (seer) with r and monetdb

July 15, 2013
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the surveillance epidemiology and end results program is the aggregation of all cancer registry statistics in the united states.  created by congressional decree, seer has captured a nationally-representative quarter of american cancer incidence s...

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Imputing Missing Data With Expectation – Maximization

July 14, 2013
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Imputing Missing Data With Expectation – Maximization

It can be fairly common to find missing values in a dataset. Having only a few missing values isn’t generally a problem and those records can be deleted listwise. In other words the entire record is simply removed from the analysis. The problem is even with a limited amount missing data, that can translate into

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Go home, Feedly, you’re drunk!

July 14, 2013
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Go home, Feedly, you’re drunk!

With the demise of Google Reader, many of us have scrambled to find alternatives which cover many/most of the features we were used to. For me, synchronised access from web and mobile counts quite high, and I want the (Android) mobile experience to b...

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Partial Least Squares Regression in R

July 14, 2013
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Partial Least Squares Regression in R

Partial Least Squares Regression:This week I will be doing some consulting around Structural Equation Modeling (SEM) techniques to solve a unique business problem.  We are trying to identify customer preference for various products and traditional regression is not adequate because of the high dimensional component to the data set along with the multi-colinearity of the variables.  PLS is a...

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R talks to Weka about Data Mining

July 14, 2013
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R talks to Weka about Data Mining

R provides us with excellent resources to mine data, and there are some good overviews out there: Yanchang’s website with Examples and a nice reference card The rattle-package that introduces a nice GUI for R, and Graham William’s compendium of tools The caret-package that offers a unified interface to running a multitude of model builders.

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useR 2013 was a blast!

July 14, 2013
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useR 2013 was a blast!

I had a great time at useR 2013 in Albacete, Spain. The food was great, the people were fun and the weather was hot. A pleasant surprise was that I won the useR data analysis contest with my submission “Modeling Match Results in La Liga Using a Hierarchical Bayesian Poisson Model.” It was a fun exercise modeling football...

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Rain in Netherlands during the past 100 years

July 14, 2013
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Rain in Netherlands during the past 100 years

Climate has my interest. But discussions on climate change seem to be focused on temperature. In real life, we look at temperature, rain, sunshine and wind. I was therefor happy to find a load of rain data on Royal Netherlands Meteorological Institute....

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Slides from Rcpp talk in Sydney

July 13, 2013
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The Sydney Users of R Forum (SURF) were kind enough to host me two days (well, three with the traveling ...) ago for an hour-long talk on Rcpp. Apparently, it set a new attendance record for this R user group. My thanks to Louise and Eugene for hosti...

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List Comprehensions in R

July 13, 2013
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List comprehensions in Python or Haskell are popular and useful tools to filter a list given some predicates. The foreach package by Revolution Analytics gives us a handy interface to list comprehensions in R.Quicksort is a recursive algorithm to ...

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