Multivariate Analysis of Variance

Description

A class for the multivariate analysis of variance.

Usage

manova(...)

Arguments

Details

Class "manova" differs from class "aov" in selecting a different summary method. Function manova calls aov and then add class "manova" to the result object for each stratum.

Value

See aov and the comments in ‘Details’ here.

References

⁠Hand D. J., Taylor C. C. (1987). Multivariate Analysis of Variance and Repeated Measures. Chapman & Hall, London. ISBN 0412258005.

⁠Krzanowski W. J. (1988). Principles of Multivariate Analysis: A User’s Perspective. Oxford University Press. ISBN 978-0198522119.

See Also

aov, summary.manova, the latter containing more examples.

Examples

## Set orthogonal contrasts.
op <- options(contrasts = c("contr.helmert", "contr.poly"))

## Fake a 2nd response variable
npk2 <- within(npk, foo <- rnorm(24))
( npk2.aov <- manova(cbind(yield, foo) ~ block + N*P*K, npk2) )
summary(npk2.aov)

( npk2.aovE <- manova(cbind(yield, foo) ~  N*P*K + Error(block), npk2) )
summary(npk2.aovE)