1554 search results for "Regression"

Maximal Information Coefficient (MIC)

December 19, 2011
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Maximal Information Coefficient (MIC)

Pearson r correlation coefficients for various distributions of paired data (Credit: Denis Boigelot, Wikimedia Commons)A paper published this week in Science outlines a new statistic called the maximal information coefficient (MIC), which is able to equally describe the correlation between paired variables regardless of linear or nonlinear relationship. In...

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Exploring Your Voter File with R

December 12, 2011
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Exploring Your Voter File with R

We perform a voter file analysis for Wake County, NC using R.

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UseR! 2011 slides and videos – on one page

December 11, 2011
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Links to slides and talks from useR 2011 - all organized in one page.Read more »

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Stability of classification trees

December 9, 2011
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Stability of classification trees

Classification trees are known to be unstable with respect to training data. Recently I have read an article on stability of classification trees by Briand et al. (2009). They propose a quantitative similarity measure between two trees. The method is i...

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Statistics with R – Lots of R Examples

December 8, 2011
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Statistics with R – Lots of R Examples

“Statistics with R” is a great R graphics & stats website. It provides lots of R examples, covering many analytics topics. It is also available as a PDF document to download at the website, as well as the R codes. … Continue reading →

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My Favorite Graphs

December 5, 2011
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My Favorite Graphs

The important criterion for a graph is not simply how fast we can see a result; rather it is whether through the use of the graph we can see something that would have been harder to see otherwise or that could not have been seen at all. – William Cleveland, The Elements of Graphing Data, Related posts:

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Week in Review 021211 R Language

Week in Review 021211 R Language

Happy last month of 2011. I will fly to Sydney to present a paper at the 24th Australasian Finance & Banking Conference on next Thursday, so we may not have a review next week. However, feel free to contact me @a_biao for sharing any useful post. This week's review is highly concentrated on

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Path from root to leaf node in mvpart

December 1, 2011
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Path from root to leaf node in mvpart

I was recently asked by a R user about how one could extract the “rule” in a classification/regression tree. The requirement was to obtain the path traced from the root node to the leaf nodes and obtain all the paths or “rules” path.rpart() function in the mvpart package provides this convenience library(mvpart) # Create a

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Basic Econometrics in R and SAS

November 27, 2011
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Basic Econometrics in R and SAS

Regression Basicsy= b0 + b1 *X  ‘regression line we want to fit’The method of least squares minimizes the squared distance between the line ‘y’ andindividual data observations yi. That is minimize: ∑ ei2 = ∑ (yi - b0 -  b1 Xi...

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Putting it all together: concise code to make dotplots with weighted bootstrapped standard errors

November 27, 2011
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Putting it all together: concise code to make dotplots with weighted bootstrapped standard errors

I analyze a lot of experiments and there are many times when I want to quickly look at means and standard errors for each cell (experimental condition), or the same for each cell and individual-level attribute level (e.g., Democrat, Independent, … Continue reading →

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