pair_nmi: Normalized mutual information
In bullseye: Visualising Multiple Pairwise Variable Correlations and Other Scores
pair_nmi R Documentation
Normalized mutual information
Description
Calculates normalized mutual information for every numeric or factor or mixed variable pair in a dataset.
Usage
pair_nmi(d, handle.na = TRUE, ...)
Arguments
d
A dataframe
handle.na
If TRUE uses pairwise complete observations to calculate normalized mutual information, otherwise NAs not handled.
...
other arguments
Details
The normalized mutual information is calculated using maxNMI from linkpotter package
Value
A tibble of class pairwise
Examples
pair_nmi(iris)
bullseye documentation built on Sept. 11, 2024, 9:24 p.m.
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| pair_nmi | R Documentation |
Normalized mutual information
Description
Calculates normalized mutual information for every numeric or factor or mixed variable pair in a dataset.
Usage
pair_nmi(d, handle.na = TRUE, ...)
Arguments
d |
A dataframe |
handle.na |
If TRUE uses pairwise complete observations to calculate normalized mutual information, otherwise NAs not handled. |
... |
other arguments |
Details
The normalized mutual information is calculated using maxNMI from linkpotter package
Value
A tibble of class pairwise
Examples
pair_nmi(iris)
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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