drv: Dissimilarity between two data matrices based on the RV...
In mvcor: Correlation Coefficients for Multivariate Data
Dissimilarity between two data matrices based on the RV coefficient R Documentation
Dissimilarity between two data matrices based on the RV coefficient
Description
Dissimilarity between two data matrices based on the RV coefficient.
Usage
drv(y, x)
Arguments
y
A numerical matrix.
x
A numerical matrix.
Details
The dissimilarity between the two data matrices is computed as \sqrt{2}\sqrt{1-RV(y, x)}, where RV(y,x)is the RV coefficient.
Value
The value of the dissimilarity.
Author(s)
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
Josse J., Pages J. and Husson F. (2008). Testing the significance of the RV coefficient. Computational Statistics & Data Analysis, 53(1): 82–91.
See Also
rv, sq.correl, dcor
Examples
drv( as.matrix(iris[, 1:2]), as.matrix(iris[, 3:4]) )
mvcor documentation built on April 11, 2025, 5:39 p.m.
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| Dissimilarity between two data matrices based on the RV coefficient | R Documentation |
Dissimilarity between two data matrices based on the RV coefficient
Description
Dissimilarity between two data matrices based on the RV coefficient.
Usage
drv(y, x)
Arguments
y |
A numerical matrix. |
x |
A numerical matrix. |
Details
The dissimilarity between the two data matrices is computed as \sqrt{2}\sqrt{1-RV(y, x)}, where RV(y,x)is the RV coefficient.
Value
The value of the dissimilarity.
Author(s)
Michail Tsagris
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
Josse J., Pages J. and Husson F. (2008). Testing the significance of the RV coefficient. Computational Statistics & Data Analysis, 53(1): 82–91.
See Also
rv, sq.correl, dcor
Examples
drv( as.matrix(iris[, 1:2]), as.matrix(iris[, 3:4]) )
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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