Dissimilarity between two data matrices based on the RV coefficient.

Dissimilarity between two data matrices based on the RV coefficient

Correlation coefficients for multivariate data, namely the squared correlation coefficient and the RV coefficient (multivariate generalization of the squared Pearson correlation coefficient). References include Mardia K.V., Kent J.T. and Bibby J.M. (1979). "Multivariate Analysis". ISBN: 978-0124712522. London: Academic Press.

Michail Tsagris

mvcor

Correlation Coefficients for Multivariate Data

Dissimilarity between two data matrices based on the RV coefficient function

<dl><dt>y</dt>
<dd>A numerical matrix.</dd><dt>x</dt>
<dd>A numerical matrix.</dd></dl>

Arguments

Michail Tsagris
R implementation and documentation: Michail Tsagris <a href="/link/mtsagris%40uoc.gr?package=mvcor&version=1.1" data-mini-rdoc="mvcor::mtsagris@uoc.gr">mtsagris@uoc.gr</a>.

Author

Dissimilarity between two data matrices based on the RV coefficient — Dissimilarity between two data matrices based on the RV coefficient

<dl>

<dt>y</dt>
<dd>A numerical matrix.</dd>

<dt>x</dt>
<dd>A numerical matrix.</dd>

</dl>

Michail Tsagris
R implementation and documentation: Michail Tsagris <a href='mailto:mtsagris@uoc.gr'>mtsagris@uoc.gr</a>.

Dissimilarity between two data matrices based on the RV coefficient: Dissimilarity between two data matrices based on the RV coefficient

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Author

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References

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Examples