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FactoMineR (version 1.34)

coeffRV: Calculate the RV coefficient and test its significance

Description

Calculate the RV coefficient and test its significance.

Usage

coeffRV(X, Y)

Arguments

X
a matrix with n rows (individuals) and p numerous columns (variables)
Y
a matrix with n rows (individuals) and p numerous columns (variables)

Value

A list containing the following components: A list containing the following components:

Details

Calculates the RV coefficient between X and Y. It returns also the standardized RV, the expectation, the variance and the skewness under the permutation distribution. These moments are used to approximate the exact distribution of the RV statistic with the Pearson type III approximation and the p-value associated to this test is given.

References

Escouffier, Y. (1973) Le traitement des variables vectorielles. Biometrics 29 751--760. Josse, J., Husson, F., Pag\`es, J. (2007) Testing the significance of the RV coefficient. Computational Statististics and Data Analysis. 53 82--91. Kazi-Aoual, F., Hitier, S., Sabatier, R., Lebreton, J.-D., (1995) Refined approximations to permutations tests for multivariate inference. Computational Statistics and Data Analysis, 20, 643--656

Examples

Run this code
data(wine)
X <- wine[,3:7]
Y <- wine[,11:20]
coeffRV(X,Y)

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