1420 search results for "regression"

sab-R-metrics: Introduction to R

January 5, 2011
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sab-R-metrics: Introduction to R

In a recent post, I briefly mentioned that I may turn a majority of the focus of this blog to teaching R commands for use with sabermetric analysis. Only a few days later, Ricky Zanker began a new column at The Hardball Times doing just that. But that's okay. Hopefully both his and mine...

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sab-R-metrics: Introduction to R

January 5, 2011
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sab-R-metrics: Introduction to R

In a recent post, I briefly mentioned that I may turn a majority of the focus of this blog to teaching R commands for use with sabermetric analysis. Only a few days later, Ricky Zanker began a new column at The Hardball Times doing just that. But that's okay. Hopefully both his and mine...

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Review: Statistical Analysis with R: Beginner’s Guide by John M. Quick

January 1, 2011
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Review: Statistical Analysis with R: Beginner’s Guide by John M. Quick

Summary: If you can get past the strange underlying story, then this gives a good introduction to R to someone with no programming experience. However, if you have any experience with other programming languages then another book is likely to be more suitable. Reference: Quick, J. M., Statistical Analysis in R: Beginners Guide, Packt Publishing,

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The R Journal, Vol.2 Issue 2 is out

December 31, 2010
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The second issue of the second volume of The R Journal is now available . Download complete issue Refereed articles may be downloaded individually using the links below. Table of Contents Editorial 3 Contributed Research Articles Solving Differential Equations in R Karline Soetaert, Thomas Petzoldt and R. Woodrow Setzer 5 Source

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Chromosome bias in R, my notebook

December 23, 2010
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Chromosome bias in R, my notebook

My goal is to develop a means of detecting chromosome bias from a human BAM file.Because I've been working with proprietary and novel plant genomes for the last three years, I haven't had the chance to use any of the awesome UCSC-based annotational features that have been introduced and refined in Bioconductor until now. I've returned to biomedical research...

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Chromosome bias in R, my notebook

December 23, 2010
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Chromosome bias in R, my notebook

My goal is to develop a means of detecting chromosome bias from a human BAM file.Because I've been working with proprietary and novel plant genomes for the last three years, I haven't had the chance to use any of the awesome UCSC-based annotational features that have been introduced and refined in Bioconductor until now. I've returned to biomedical research...

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R programming books

December 21, 2010
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R programming books

My sabbatical is rapidly coming to an end, and I have to start thinking more and more about teaching. Glancing over my module description for the introductory computational statistics course I teach, I noticed that it’s a bit light on recommend/background reading. In fact it has only two books: A first course in statistical programming

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Joe West vs. Bruce Froemming: A Crude Umpire LHB/RHB Bias Comparison

December 17, 2010
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Joe West vs. Bruce Froemming: A Crude Umpire LHB/RHB Bias Comparison

In my last two posts, I have tinkered with the 'gam' package to create heat maps for individual umpire strike zones. I went ahead and grabbed Joe West's data (which has a lot more pitches than Bruce Froemming in it, since Froemming's data is only from...

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Machine Learning and Data Mining with R

December 13, 2010
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The San Francisco Bay Area ACM runs several courses on data mining and machine learning with R. Machine Learning 101 deals primarily with supervised learning problems, and Machine Learning 102 covers unsupervised learning and fault detection. Machine Learning 101 & 102 were most recently presented by Mike Bowles & Tricia Hoffman in September, and the lecture notes and class...

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Example 8.18: A Monte Carlo experiment

December 13, 2010
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Example 8.18: A Monte Carlo experiment

In recent weeks, we've explored methods to fit logistic regression models when a state of quasi-complete separation exists. We considered Firth's penalized likelihood approach, exact logistic regression, and Bayesian models using Markov chain Monte Ca...

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