Hello,

I had a couple questions about  manova modeling in R.

I have calculated a manova model, and generated a summary.manova output
using both the Wilks test and Pillai test.

The output is essentially the same, except that the Wilks lambda = 1 -
Pillai. Is this normal? (The output from both is appended below.)

My other question is about the use of MANOVA. If I have one variable which
has a higher F-stat value (~60) than the MANOVA fstat (~20), but the other
15 variables all have lower ANOVA F-stat values (~5-10), am I still okay in
using the MANOVA? (If I remove the one highly significant variable, the
MANOVA f-stat is still larger than the other univariate F-stats).


Thanks very much for your help,

Aalim

Output from Manova tests:

> summary.manova(fit)
          Df  Pillai approx F num Df den Df    Pr(>F)
response  1  0.9725  19.8967     16      9 4.193e-05 ***
Residuals 24
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
> summary.manova(fit, test="Wilks")
          Df   Wilks approx F num Df den Df    Pr(>F)
response 1  0.0275  19.8967     16      9 4.193e-05 ***
Residuals 24
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

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