featureCorMatrix: Feature Correlation Matrix.
In gmoeser/featureCorMatrix: Measurement Level Independent Feature Correlation Matrix
Description
Usage
Arguments
Details
Value
Examples
View source: R/featureCorMatrix.R
Description
featureCorMatrix returns a correlation matrix between all features
Usage
1
featureCorMatrix(dataframe, absoluteValues = FALSE)
Arguments
dataframe
A data.frame
absoluteValues
A flag stating if only positive correlations should be returned
Details
The function selects automatically the appropriate correlation
coefficient regarding the storage type of both variables
If both variable are numerical ones, the PM correlation coefficient will be chosen
If both variables are categorical, Cramer's V will be used
If one variable is a numerical and the other a categorical one, the ICC will be calculated
Value
A correlation matrix
Examples
1
featureCorMatrix(dataframe = iris, absoluteValues = TRUE)
gmoeser/featureCorMatrix documentation built on May 25, 2020, 12:53 a.m.
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Description Usage Arguments Details Value Examples
View source: R/featureCorMatrix.R
Description
featureCorMatrix returns a correlation matrix between all features
Usage
1 | featureCorMatrix(dataframe, absoluteValues = FALSE)
|
Arguments
dataframe |
A data.frame |
absoluteValues |
A flag stating if only positive correlations should be returned |
Details
The function selects automatically the appropriate correlation coefficient regarding the storage type of both variables If both variable are numerical ones, the PM correlation coefficient will be chosen If both variables are categorical, Cramer's V will be used If one variable is a numerical and the other a categorical one, the ICC will be calculated
Value
A correlation matrix
Examples
1 | featureCorMatrix(dataframe = iris, absoluteValues = TRUE)
|
R Package Documentation
Browse R Packages
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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