Blog Archives

Are Turbocharged Engines More Fuel Efficient?

January 11, 2016
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Are Turbocharged Engines More Fuel Efficient?

Introduction:My previous post discussed methods to uncover effects of a particular explanatory variable on a response variable in machine learning models. These work by changing the variable of interest and measure how much the change in output, is kee...

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Sampling Arbitrary data

January 3, 2016
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Sampling Arbitrary data

Introduction:Generating data usually requires a variance - covariance matrix and is therefore restricted by using a linear assumption between the variables. However, using a linear assumption between data can miss important non - linear relationships. ...

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Beyond Beta: Relationships between partialPlot(), ICEbox(), and predcomps()

December 6, 2015
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Beyond Beta: Relationships between partialPlot(), ICEbox(), and predcomps()

Machine Learning models generally outperform standard regression models in terms of predictive performance. However, these models tend to be poor in explaining how they achieve a particular result. This post will discuss three methods used to peak insi...

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Slate Middle East Graph #2

October 7, 2015
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Slate Middle East Graph #2

I recently saw Slate.com redid its Mideast Graphic and thought it would be good to redo my previous analysis. From the original slate graphic it's hard to make much sense of what's happening and who's friends with whom.From the graph below we can ...

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WW1 Monthly Casualties by Fronts and Belligerents

April 2, 2015
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WW1 Monthly Casualties by Fronts and Belligerents

GithubI've been reading a few books on WW1 and wanted to see a time series plot of battle casualty/pow by country to get a better understanding of how the conflict fits together. I couldn't find any database for military casualties in WW1 but Wikipedia...

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Western Front Battle Exchange Rates

March 22, 2015
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Western Front Battle Exchange Rates

Introduction:GithubThe Western Front in World War One is considered a a war of outdated tactics combined with brutal efficiency of technology. And while the war saw the introduction of several innovations (eg. tanks and airplanes) the general routine o...

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Predicting Monthly Car Sales: The Residuals are the Story

October 7, 2014
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Predicting Monthly Car Sales: The Residuals are the Story

I'll produce predictions for US car sales by manufacture every month. There are already several blogs that describe the industry and sales that do a great job. Autoblog by the Numbers and Counting Cars are some to mention. Unli...

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Predicting Monthly Car Sales for Brands in US: First Step

August 6, 2014
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I've set out to produce monthly forecasts of monthly car sales by brand in the US. So far I've made a SUTSE dynamic linear model (code on Github) and created a Shiny app (http://sweiss.shinyapps.io/carvis/) as a prototype (no predictions...

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Mideast Graph 3: Slate Middle East Friendship

July 23, 2014
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Mideast Graph 3: Slate Middle East Friendship

Slate recently published a great info-graphic about Middle-East Relationships. It shows the relationships (Friend, Enemy, or Complicated) of 13 countries / organizations and the relationships between each pair. One draw back of the chart is that it doe...

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didYouMean() Function: Using Google to correct errors in Strings

May 22, 2014
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A function that will take a String as an input and return the "Did you mean.." or "Showing Results for.." from google.com. Good for misspelled names or locations.Githublibrary(RCurl)didYouMean=function(input){  input=gsub(" ", "+", input)  do...

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