manova

0th

Percentile

Multivariate Analysis of Variance

A class for the multivariate analysis of variance.

Keywords
models
Usage
manova(...)
Arguments
...
Arguments to be passed to aov.
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

Krzanowski, W. J. (1988) Principles of Multivariate Analysis. A User's Perspective. Oxford.

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

See Also

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

Aliases
  • manova
Examples
library(stats) ## 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)
Documentation reproduced from package stats, version 3.3, License: Part of R 3.3

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