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README.md
In featureCorMatrix: Measurement Level Independent Feature Correlation Matrix
featureMatrix
R package Feature Correlation Matrix
Status: First version (0.4.0) ready to get pushed to CRAN, minor changes under development already !
Authors:
Dr. Guido Möser/ Ilja Muhl (in alphabetical order)
Notes:
If you want to run the featureMatrix()-function, the two other functions, cv.test() and icc(), have to be available!
What it does:
Estimates the correlation between categorical and numerical features (and the target variable)
Parameter:
- both variables numerical: Product-Moment-Correlation by Bravais-Pearson
- both variables categorical: Cramer's V (based on the Chi²-Test of Independence)
- one variable categorical and the other numerical: ICC (Intra-Class-Correlation) based on classical ANOVA by Fisher
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featureCorMatrix documentation built on July 1, 2020, 10:38 p.m.
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featureMatrix
R package Feature Correlation Matrix
Status: First version (0.4.0) ready to get pushed to CRAN, minor changes under development already !
Authors: Dr. Guido Möser/ Ilja Muhl (in alphabetical order)
Notes: If you want to run the featureMatrix()-function, the two other functions, cv.test() and icc(), have to be available!
What it does: Estimates the correlation between categorical and numerical features (and the target variable)
Parameter: - both variables numerical: Product-Moment-Correlation by Bravais-Pearson - both variables categorical: Cramer's V (based on the Chi²-Test of Independence) - one variable categorical and the other numerical: ICC (Intra-Class-Correlation) based on classical ANOVA by Fisher
Try the featureCorMatrix package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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