Multivariate analysis of variance (James test)

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Description

Multivariate analysis of variance without assuming equality of the covariance matrices.

Usage

1
maovjames(x, ina, a = 0.05)

Arguments

x

A matrix containing the Euclidean data.

ina

A numerical or factor variable indicating the groups of the data.

a

The significance level, set to 0.005 by default.

Details

Multivariate analysis of variance without assuming equality of the covariance matrices.

Value

A vector with the next 4 elements:

test

The test statistic.

correction

The value of the correction factor.

corr.critical

The corrected critical value of the chi-square distribution.

p-value

The p-value of the corrected test statistic.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@yahoo.gr> and Giorgos Athineou <athineou@csd.uoc.gr>

References

G.S.James (1954). Tests of Linear Hypothese in Univariate and Multivariate Analysis when the Ratios of the Population Variances are Unknown. Biometrika, 41(1/2): 19-43.

See Also

maov, hotel2T2, james, comp.test

Examples

1
2
maov( iris[,1:4], iris[,5] )
maovjames( iris[,1:4], iris[,5] )

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