2041 search results for "Regression"

predictNLS (Part 2, Taylor approximation): confidence intervals for ‘nls’ models

August 26, 2013
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predictNLS (Part 2, Taylor approximation): confidence intervals for ‘nls’ models

Initial Remark: Reload this page if formulas don’t display well! As promised, here is the second part on how to obtain confidence intervals for fitted values obtained from nonlinear regression via nls or nlsLM (package ‘minpack.lm’). I covered a Monte Carlo approach in http://rmazing.wordpress.com/2013/08/14/predictnls-part-1-monte-carlo-simulation-confidence-intervals-for-nls-models/, but here we will take a different approach: First- and second-order

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New Webinar: High Performance Predictive Analytics in R and Hadoop

August 23, 2013
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This coming Tuesday, August 27, our US Chief Scientist Mario Inchosa will reveal some details of the forthcoming in-Hadoop predictive analytics capabilities of Revolution R Enterprise 7, due for release later this year. Here's the abtract of his webinar, High Performance Predictive Analytics in R and Hadoop: Hadoop is rapidly being adopted as a major platform for storing and...

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R and PMML Support

August 21, 2013
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R and PMML Support

A PMML package for R that exports all kinds of predictive models is available directly from CRAN.Traditionally, the pmml package offered support for the following data mining algorithms:ksvm (kernlab): Support Vector Machinesnnet: Neural Networksrpart:...

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influence.ME now supports new lme4 1.0

August 21, 2013
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influence.ME is an R package for detecting influential data in multilevel regression models (or, mixed effects models as they are referred to in the R community). The application of multilevel models has become common practice, but the development of diagnostic ...

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Print glm-output to HTML table #rstats

August 20, 2013
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Print glm-output to HTML table #rstats

We often use logistic regression models in our analyses and we also often need to publish the results in table format. And, we always use MS Word since this is our standard office in our department. So I thought about … Weiterlesen →

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Export R Results Tables to Excel – Please don’t kick me out of your club

August 19, 2013
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Export R Results Tables to Excel – Please don’t kick me out of your club

This post is written as a result of finding the following exchange on one of the R mailing lists:Is-there-a-way-to-export-regression-output-to-an-excel-spreadsheetQuestion: Is there a way to export regression output to an excel spreadsheet?Translation:...

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Gaussian Processes with RStan

August 19, 2013
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Gaussian Processes with RStan

Email Previously I looked at how to simulate Gaussian processes in R, following the methods in Rasmussen and Williams. But now that Andrew Gelman et al. (of

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Question and Answer: Generating Binary and Discrete Response Data

August 19, 2013
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I was recently contacted by a reader with two very specific questions and I thought that this would be a good topic to publicity respond to. He would like to simulate his data:I have firm level data and the model is discrete choice with the main expla...

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R vs Python Speed Comparison for Bootstrapping

August 19, 2013
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R vs Python Speed Comparison for Bootstrapping

I’m interested in Python a lot, mostly because it appears to be wickedly fast. The downside is that I don’t know it nearly as well as R, so any speed gain in computation time is more than offset by Google … Continue reading →

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The Bayesian Counterpart of Pearson’s Correlation Test

August 19, 2013
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The Bayesian Counterpart of Pearson’s Correlation Test

Except for maybe the t test, a contender for the title “most used and abused statistical test” is Pearson’s correlation test. Whenever someone wants to check if two variables relate somehow it is a safe bet (at least in psychology) that the first thing to be tested is the strength of a Pearson’s correlation. Only if that doesn’t...

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