2042 search results for "regression"

Yet Another Baseball Defense Statistic

April 22, 2014
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Yet Another Baseball Defense Statistic

Fangraphs recently published an interesting dataset that measures defensive efficiency of fielders. For each player, the Inside Edge dataset breaks their opportunities to make plays into five categories, ranging from almost impossible to routine. It al...

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Simpson’s Paradox Is Back

April 21, 2014
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Simpson’s Paradox Is Back

The latest issue of the American Statistician has a set of thought-provoking point/counterpoint papers on Simpson’s Paradox, with a tie-in to the controversial issue of causality. (I will not address the causality issue here.) Since I have long had my own thoughts about Simpson’s, I’ll postpone the topic I had planned to post this week,

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Mythbusting – Dr. Copper

April 21, 2014
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Mythbusting – Dr. Copper

Image by Justin Reznick   “An economist is an expert who will know tomorrow why the things he predicted yesterday didn't happen today.” Laurence J. Peter (author and creator of the Peter Principle) If you were paying attention to financial sites last month, you probably noticed a number of articles on “Dr. Copper”. Here is

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Fracking and House Prices on the Marcellus Shale

April 21, 2014
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Fracking and House Prices on the Marcellus Shale

Starting last summer I worked on a short project that set out to estimate the potential costs of externalities due to unconventional shale gas production in the Marcellus shale on local house prices using a dataset of roughly 150,000 recently sold houses in Ohio, West Virginia and Pennsylvania. I stopped working on a project that

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Webinar: Big-Data Trees for R

April 21, 2014
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If you missed last week's webinar presented by Revolution Analytics' US Chief Scientist Mario Inchiosa, Decision Trees built in Hadoop plus more Big Data Analytics with Revolution R Enterprise, the slides and webinar replay are now available for download. The webinar includes a demo of building decision trees and regression trees in Revolution R Enterprise, and using the Tree...

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Using Markov Chains to Model Mortgage Defaults in R

April 18, 2014
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Using Markov Chains to Model Mortgage Defaults in R

The goal of this post is to blend the material I’ve been learning in my night class with my day-job and R. If we have some object that switches between states over time according to fixed probabilities, we can model the long-term behavior of this object using Markov chains*. A good example is a mortgage. … Continue reading...

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Reot: Empirical Orthogonal Teleconnections in R

April 18, 2014
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Reot: Empirical Orthogonal Teleconnections in R

We are happy to introduce Reot, an R package designed for empirical orthogonal teleconnection (EOT) analysis of gridded geo-scientific space-time data based on the method by van den Dool et al. (2000). EOT denotes a regression-based approach to decompose spatio-temporal … Continue reading →

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Diving into H2O

April 17, 2014
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H2O

by Joseph Rickert One of the remarkable features of the R language is its adaptability. Motivated by R’s popularity and helped by R’s expressive power and transparency developers working on other platforms display what looks like inexhaustible creativity in providing seamless interfaces to software that complements R’s strengths. The H2O R package that connects to 0xdata’s H2O software (Apache...

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How Fast the Fastest Human Would Run 100m?

April 16, 2014
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How Fast the Fastest Human Would Run 100m?

Ethan Siegel wrote a post entitled The Math of the Fastest Human Alive five years ago, using regressions. An alternative is too use extreme value models (I wrote a post a long time ago on the maximum length of a tennis match using extreme value theory a few years ago). In 2009, John Einmahl and Sander Smeets wrote a great article...

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Geomorph 3D Visualization

April 16, 2014
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Geomorph 3D Visualization

Dear geomorph users,version 2.0 of geomorph brings new developments in how shape deformations from 3D coordinate shape data can be viewed. We have implemented warping of 3D surface files (e.g., .ply files), which allows the user to visualize the shape deformations along Principal Component axes, Multivariate Regression slopes, Partial Least Squares axes and group differences, to name a few.The new function warpRefMesh() reads in a .ply...

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