manova5050: Computation of 50-50 MANOVA results

In ffmanova: Fifty-Fifty MANOVA

Computation of 50-50 MANOVA results

Description

The function takes a design-with-responses object created by xy_Obj and produces 50-50 MANOVA output. Results are produced for each term in the model.

Usage

manova5050(xyObj, stand)

Arguments

xyObj	design-with-responses object
stand	standardisation of responses (0 or 1)

Details

Classical multivariate ANOVA (MANOVA) are useless in many practical cases. The tests perform poorly in cases with several highly correlated responses and the method collapses when the number of responses exceeds the number of observations. 50-50 MANOVA is made to handle this problem. Principal component analysis (PCA) is an important part of this methodology. Each test is based on a separate PCA.

Value

A list with components

termNames	model term names
exVarSS	explained variances calculated from sums of squares summed over all responses
df	degrees of freedom - adjusted for other terms in model
df_om	degrees of freedom - adjusted for terms contained in actual term
nPC	number of principal components used for testing
nBU	number of principal components used as buffer components
exVarPC	variance explained by nPC components
exVarBU	variance explained by (nPC+nBU) components
pValues	50-50 MANOVA p-values
stand	logical. Whether the responses are standardised.

Note

The 50-50 MANOVA p-values are based on the Hotelling-Lawley Trace Statistic. The number of components for testing and the number of buffer components are chosen according to default rules.

Author(s)

Øyvind Langsrud and Bjørn-Helge Mevik

References

Langsrud, Ø. (2002) Rotation Tests. The Statistician, 51, 305–317.

See Also

ffmanova

ffmanova documentation built on Oct. 18, 2023, 5:08 p.m.