[R] Wilks Lamba

[Sven Garbade]

Hi all,

I can't figure out how to compute Wilks Lambda in a one way repeated
measure design. My matrix looks like:

> t2.m
  Blank   ECR   ENC   UEA   UED
1 -0.15  0.14  0.16  0.09  0.14
2  0.30  0.08  0.14  0.14  0.14
[...]

where each row is a case and the columns are levels of one factor (named
trial):

> t2.fit <- manova(t2.m ~ 1)
> summary(t2.fit, intercept=T, test="Wilks")
            Df   Wilks approx F num Df den Df Pr(>F)
(Intercept)  1 0.26869  1.63302      5      3 0.3642
Residuals    7

ist this correct? I ask because SPSS gives me a different result:

Effect: Trial
Wilks:    0.392
F:        1.554
Df:       4
error Df: 4
Pr:       0.340

Thanks for any hints, Sven



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