maovjames: Multivariate analysis of variance (James test)

Description Usage Arguments Details Value Author(s) References See Also Examples

View source: R/maovjames.R

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 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 <[email protected]> and Giorgos Athineou <[email protected]>

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( as.matrix(iris[,1:4]), iris[,5] )
maovjames( as.matrix(iris[,1:4]), iris[,5] )

Example output

$note
[1] "F approximation has been used"

$result
         stat       p-value 
 1.991453e+02 1.365006e-112 

         test    correction corr.critical       p-value 
  6142.293071      1.096842     17.009068      0.000000 

Compositional documentation built on Oct. 7, 2017, 5:05 p.m.