1411 search results for "Regression"

What is ordisurf() doing…?

June 10, 2011
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What is ordisurf() doing…?

I’m writing this post for two reasons: i) someone searched on Google for the term ‘what is ordisurf doing’ and ended up on my blog, and ii) because I have been on the receiving end of reviewers comments on a paper I co-authored where they didn’t know what ordisurf() was doing either! It is hardly surprising that people who...

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How to fit power laws

June 7, 2011
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How to fit power laws

A new paper out in Ecology by Xiao and colleagues (in press, here) compares the use of log-transformation to non-linear regression for analyzing power-laws.They suggest that the error distribution should determine which method performs better. When you...

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another look at CRAN Task Views

May 26, 2011
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another look at CRAN Task Views

We've been impressed with how helpful the CRAN Task Views are in guiding us in R as we wend our way through the huge number of add-on packages (3021 as of May, 2011). These are web pages that are maintained by volunteers with expertise in a specified ...

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BMS and the Fixed Effects Estimator – A Tutorial

This tutorial illustrates how to use Bayesian Model Averaging (BMA) with panel data using the R package BMS.ContentsIntroduction Fixed Effects Estimation by Demeaning the Data Fixed Effects Estimation with Dummy Variables Bibliography DownloadsA ...

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RcppArmadillo 0.2.20

Conrad Sanderson is preparing version 2.0.0 of his Armadillo templated C++ library for linear algebra and has released a first public beta version 1.99.2. This has been folded into a new release of the RcppArmadillo wrapper for R based on our Rcpp li...

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sab-R-metrics: Kernel Density Smoothing

May 25, 2011
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sab-R-metrics: Kernel Density Smoothing

Last time I left you, I had gone over some basics of doing loess regression in R. If you remember, loess is a sort of regression that allows wigglyness in your regression of some dependent variable Y on some independent variable X (I will generalize t...

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sab-R-metrics: Kernel Density Smoothing

May 25, 2011
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sab-R-metrics: Kernel Density Smoothing

Last time I left you, I had gone over some basics of doing loess regression in R. If you remember, loess is a sort of regression that allows wigglyness in your regression of some dependent variable Y on some independent variable X (I will generalize t...

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A simple Big Data analysis using the RevoScaleR package in Revolution R

May 24, 2011
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A simple Big Data analysis using the RevoScaleR package in Revolution R

This post from Stephen Weller is part of a series from members of the Revolution Analytics Engineering team. Learn more about the RevoScaleR package, available free to academics as part of Revolution R Enterprise — ed. The RevoScaleR package, installed with Revolution R Enterprise, offers parallel external memory algorithms that help R break through memory and performance limitations. RevoScaleR...

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A simple Big Data analysis using the RevoScaleR package in Revolution R

May 24, 2011
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A simple Big Data analysis using the RevoScaleR package in Revolution R

This post from Stephen Weller is part of a series from members of the Revolution Analytics Engineering team. Learn more about the RevoScaleR package, available free to academics as part of Revolution R Enterprise — ed. The RevoScaleR package, installed with Revolution R Enterprise, offers parallel external memory algorithms that help R break through memory and performance limitations. RevoScaleR...

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The distribution of interestingness

The distribution of interestingness

On April 22, David Landy posed a question about the distribution of interestingness values in response to my April 3rd post on “Interestingness Measures.”  He noted that the survey paper by Hilderman and Hamilton that I cited there makes the following comment:“Our belief is that a useful measure of interestingness should generate index values that are reasonably distributed throughout...

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