Monthly Archives: October 2013

Post 7: Sampling the item parameters with generic functions

October 10, 2013
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Post 7: Sampling the item parameters with generic functions

In this post, we will build the samplers for the item parameters using the generic functions developed in Post 5 and Post 6. We will check that the samplers work by running them on the fake data from Post 2, … Continue reading →

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RProtoBuf & HistogramTools: Statistical Analysis Tools for Large Data Sets

October 10, 2013
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At Google, building, managing and safely securing some of the world’s largest storage systems requires complex analysis of filesystem metadata. This is an important part of making sure that the information stored within those systems is quickly accessible and always secure. We're always looking for ways to make our data storage systems more efficient, and often times, this requires...

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Random Sequence of Heads and Tails: For R Users

October 10, 2013
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Rick Wicklin on the SAS blog made a post today on how to tell if a sequence of coin flips were random.  I figured it was only fair to port the SAS IML code over to R.  Just like Rick Wicklin did in his example this is the Wald-Wolfowitz test for randomness.  I tried to

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Post 6: Refactoring Part II: a generic proposal function

October 10, 2013
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In this post we refactor the proposal function from the previous post into a generic normal proposal function. This allows us to implement normal proposals for the (yet to be developed) samplers for the item parameters without duplicating code. Our … Continue reading →

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Post 5: Refactoring Part I: a generic Metropolis-Hastings sampler

October 10, 2013
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A best practice in software engineering is to re-use code instead of duplicating it. One reason for this is that it makes finding and fixing bugs easier. You only have to find the bug once instead of finding it every … Continue reading →

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Custom Legend in R

October 10, 2013
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Custom Legend in R

This particular custom legend was designed with three purposes: To effectively bin values based on a theoretical minimum and maximum value for that variable (e.g. -1 and 1 or 0 and 100) To use a different interval notation than the default To handle NA values Even though this particular legend was designed with those needs, it should be simple to extrapolate from that...

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Update to read.ply() and associated digitizing functions

October 10, 2013
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Update to read.ply() and associated digitizing functions

Dear morphometricians,Geomorph 1.1-4 has been recently uploaded to CRAN. Please update your R package list or go here to download the latest version. The news section highlights the following changes: CHANGES IN GEOMORPH VERSION 1.1-4NEW FEATURES o ...

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Calculating AUC the hard way

October 10, 2013
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Calculating AUC the hard way

The Area Under the Receiver Operator Curve is a commonly used metric of model performance in machine learning and many other binary classification/prediction problems. The idea is to generate a threshold independent measure of how well a model is able to distinguish between two possible outcomes. Threshold independent here just means that for any model

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rasterVis and solaR moved to GitHub

October 10, 2013
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rasterVis and solaR moved to GitHub

I have just published a new version of solaR and rasterVis on CRAN. From now on both packages will be …Continuar leyendo »

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2nd Data Analysis Contest Using R

October 10, 2013
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2nd Data Analysis Contest Using R

The V Conference of R Users  (Zaragoza, 12-13 December 2013) will include the 2nd Data Analysis Contest Using R sponsored …Continuar leyendo »

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