Monthly Archives: July 2014

Identify Fantasy Football Sleepers with this Shiny App

July 6, 2014
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This post describes a Shiny app that identifies fantasy football sleepers.  The app allows you to modify your league settings, and calculates robust averages of projections across numerous sources.  Best of all, The post Identify Fantasy Football Sleepers with this Shiny App appeared first on Fantasy Football Analytics.

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Competitive balance and home court advantage in the NBA

July 6, 2014
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Competitive balance and home court advantage in the NBA

Two years ago, the entire NBA season went into lockout because of mostly financial reasons. However, one central point was also about keeping a competitive balance within the NBA, so that large and small-market teams alike would have a chance to compete for a championship. THis brings us to the obvious question “Is there competitive

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Stone Flakes V, networks again

July 6, 2014
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Stone Flakes V, networks again

Last week I tried pcalg. This week deal (Learning Bayesian Networks with Mixed Variables). The aim n this post I want to try something new, a causal graphical model. The aim here is just as much to get myself a feel what these things do as to underst...

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Estimating Required Coinage

July 5, 2014
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Estimating Required Coinage

I would like to code up a simple method of minimizing the number of coins required to give change.  Then I would like see what coins are most likely to be called into usage if change is required from a uniform draw between 1 cent and 499 cents. Exported from Notepad++ # Define denominations to search throughden...

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rNOMADS 2.0.1 released

July 5, 2014
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rNOMADS 2.0.1 released

The latest version of rNOMADS is now available on CRAN.  This update resolves several minor bugs and one major one involving multiple variable/level selections when using the ModelGrid function.  I have also added support for two more models on NOMADS:  Climate Forecast System Flux Products and Climate Forecast System 3D Pressure Products.  This brings the

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RDataMining group having 6000 members today

July 4, 2014
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RDataMining group having 6000 members today

RDataMining Group: http://group.rdatamining.com Twitter: @RDataMining Website: http://www.RDataMining.com The RDataMining group has 6000 members today, 5 July 2014. Created in August 2011, this group has developed into a big community with 6000 member within three years. Since its creation, many members … Continue reading →

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Automatic bias correction doesn’t fix omitted variable bias

July 4, 2014
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Automatic bias correction doesn’t fix omitted variable bias

Page 94 of Gelman, Carlin, Stern, Dunson, Vehtari, Rubin “Bayesian Data Analysis” 3rd Edition (which we will call BDA3) provides a great example of what happens when common broad frequentist bias criticisms are over-applied to predictions from ordinary linear regression: the predictions appear to fall apart. BDA3 goes on to exhibit what might be considered Related posts:

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Finding the distance from ChIP signals to genes

July 4, 2014
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Finding the distance from ChIP signals to genes

I’ve had a couple of months off from blogging. Time for some computer-assisted biology! Robert Griffin asks on Stack Exchange about finding the distance between HP1 binding sites and genes in Drosophila melanogaster.  We can get a rough idea with some public chromatin immunoprecipitation data, R and the wonderful BEDTools. Finding some binding sites There

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Two handy documents for making good UK maps

July 4, 2014
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Two handy documents for making good UK maps

Everybody loves a good map. Even if you don’t have any reason to make one, your boss will love it when you do, so check this out and get yourself a pay rise (possibly). First, this set of diagrams via … Continue reading →

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The dendextend package for visualizing and comparing trees of hierarchical clusterings (slides from useR!2014)

July 3, 2014
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The dendextend package for visualizing and comparing trees of hierarchical clusterings (slides from useR!2014)

This week I presented in the useR!2014 my package dendextend (also on github), for easily manipulating, visualizing, and comparing dendrograms. Put simply, it is a package designed to easily create figures like these: Here is my presentation from useR: You are also invited to give a look to the current version of the package vignettes: https://github.com/talgalili/dendextend/blob/master/vignettes/dendextend-tutorial.pdf I

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