manova
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
examples.
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)
Community examples
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