1510 search results for "regression"

Data Mining In Excel: Lecture Notes and Cases

July 10, 2012
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Data Mining In Excel: Lecture Notes and Cases

by Yanchang Zhao, RDataMining.com It is a 270-page book on data mining with Excel. It can be downloaded as a PDF file at http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.83.1393&rep=rep1&type=pdf. Below is its table of contents. - Overview of the Data Mining Process - Data Exploration … Continue reading →

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Network Visualization of Key Driver Analysis

July 8, 2012
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Network Visualization of Key Driver Analysis

Whatever happened to those evaluations that your airline asked you to complete after taking a flight? They ask you for a number of ratings about buying your ticket, attributes of the plane, the service you received, and if you were satisfied, if you wo...

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New package RcppCNPy with release 0.1.0 (and 0.0.1 earlier last week)

A few days ago I had blogged about getting NumPy data in R by using a simple converter script. That works fine, but it is a little annoying to have to write an entire file only to read from it again. So I kept looking around for a better solution---and soon found the cnpy library by Carl Rogers which provides simple C++...

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The R Journal Volume 4/1, June 2012

July 6, 2012
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As first reported by Paolo, the new R journal is out! You can Download the complete issue from here.  Refereed articles may be downloaded individually using the links below. Table of Contents Editorial 3   Contributed Research Articles   Analysing Seasonal Data  Adrian G Barnett, Peter Baker and Annette J Dobson 5 MARSS: Multivariate Autoregressive State-space...

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Error metrics for multi-class problems in R: beyond Accuracy and Kappa

July 6, 2012
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Error metrics for multi-class problems in R: beyond Accuracy and Kappa

The caret package for R provides a variety of error metrics for regression models and 2-class classification models, but only calculates Accuracy and Kappa for multi-class models.  Therefore, I wrote the following function to allow caret:::train t...

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A better ‘nls’ (?)

July 5, 2012
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A better ‘nls’ (?)

Those that do a lot of nonlinear regression will love the nls function of R. In most of the cases it works really well, but there are some mishaps that can occur when using bad starting values for the parameters. One of the most dreaded is the “singular gradient matrix at initial parameter estimates” which

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Glmnet_1.8 uploaded to CRAN

July 4, 2012
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(by Trevor Hastie) Glmnet_1.8 uploaded to CRAN – This is a major revision, with two additional models included. 1) Multiresponse regression – family=”mgaussian” Here we have a matrix of M responses, and we fit a series of linear models in parallel. We use a group-lasso penalty on the set of M coefficients for each variable. This means they are...

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Example of Factor Attribution

July 3, 2012
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Example of Factor Attribution

In the prior post, Factor Attribution 2, I have shown how Factor Attribution can be applied to decompose fund’s returns in to Market, Capitalization, and Value factors, the “three-factor model” of Fama and French. Today, I want to show you a different application of Factor Attribution. First, let’s run Factor Attribution on each the stocks

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Citing R or SAS

July 2, 2012
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Citing R or SAS

One of us recently read a colleague's first draft of a paper, in which she had written: "All analyses were done in R 2.14.0." We assume we're preaching to the converted here, when we say that the enormous amount of work that goes into R needs to be re...

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My first competition at Kaggle

July 2, 2012
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My first competition at Kaggle

For me Kaggle becomes a social network for data scientist, as stackoverflow.com or github.com for programmers. If you are data scientist, machine learner or statistician you better off to have a profile there, otherwise you do not exist. Nevertheless, I won’t bet on rosy future for data scientist as journalists suggest (sexy job for next

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