Posts Tagged ‘ Tutorials ’

Learn Logistic Regression (and beyond)

November 23, 2010
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Learn Logistic Regression (and beyond)

One of the current best tools in the machine learning toolbox is the 1930s statistical technique called logistic regression. We explain how to add professional quality logistic regression to your analytic repertoire and describe a bit beyond that. A statistical analyst working on data tends to deliberately start simple move cautiously to more complicated methods.Related posts:

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Tips for the R beginner (a 5 page overview)

August 23, 2010
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In this post I publish a PDF document titled “A collection of tips for R in Finance”. It is a basic 5 page introduction to R in finances by Arnaud Amsellem (linked in profile). The article offers tips related to the following points: Code Editor Organizing R code Update packages Getting external data into R Communicating with external applications...

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Rose plot using Deducers ggplot2 plot builder

August 16, 2010
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The (excellent!) LearnR blog had a post today about making a rose plot in ggplot2. Following today’s announcement, by Ian Fellows, regarding the release of the new version of Deducer (0.4) offering a strong support for ggplot2 using a GUI plot builder, Ian also sent an e-mail where he shows how to create a rose plot using the new...

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ggplot2 plot builder is now on CRAN! (through Deducer 0.4 GUI for R)

August 16, 2010
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Ian fellows, a hard working contributer to the R community (and a cool guy), has announced today the release of Deducer (0.4) to CRAN (scheduled to update in the next day or so). This major update also includes the release of a new plug-in package (DeducerExtras), containing additional dialogs and functionality. Following is the e-mail he sent out with...

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Hadley Wickham’s ggplot2 / Data Visualization Course Materials

July 27, 2010
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Hadley Wickham, creator of ggplot2, an immensely popular framework for Tufte-friendly data visualization using R, is teaching two short courses at Vanderbilt this week. Once we opened registration to Vanderbilt students and staff we instantly filled al...

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Must Have Software

May 28, 2010
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Having worked with Unix (BSD, HPUX, IRIX, Linux and OSX), Windows (NT4, 2000, XP, Vista and 7) for quite a while I have seen a lot of different software tools. I would like to quickly exhibit my “must have” list. These are the packages that I find to be the single “must have offerings” inRelated posts:

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Tutorial: Principal Components Analysis (PCA) in R

May 20, 2010
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Found this tutorial by Emily Mankin on how to do principal components analysis (PCA) using R. Has a nice example with R code and several good references. The example starts by doing the PCA manually, then uses R's built in prcomp() function to do the s...

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R Package ‘rms’ for Regression Modeling

May 11, 2010
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If you attended Frank Harrell's Regression Modeling Strategies course a few weeks ago, you got a chance to see the rms package for R in action. Frank's rms package does regression modeling, testing, estimation, validation, graphics, prediction, and ty...

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Frank Harrell’s Regression Modeling Strategies Course Handouts

April 1, 2010
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The previously mentioned Regression Modeling Strategies short course taught by Frank Harrell is nearly over. Here are the handouts (PDF) from the course.Keep an eye out here, I'll be writing a few more posts in the near future on topics Frank covered...

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Happy Birthday GGD! The 10 Most Popular Posts Since GGD’s Launch

February 23, 2010
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The first post on Getting Genetics Done was one year ago today. To celebrate, here are the top 10 most viewed posts since GGD launched last year. Incidentally, nine of the ten are tutorials on how to do something in R. Thanks to all the readers and all...

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