[R] info : Manova - eigenvector analysis and canonical analysis

[Spencer Graves]

	  Have you considered the "sem" package (for "structural equation 
modeling"), which (to me at least) is a generalizion of MANOVA with 
canonical analysis.  Alternatively, have you considered partial least 
squares (e.g., packages "pls" or "plsgenomics")?  I haven't used them, 
but they sound like generalizations of the problem you are trying to 
solve.  If you try something and can't get it to work, please submit a 
simple, self-contained example showing what you tried and explaining why 
that didn't quite seem to work for you.  (Before submitting another 
post, however, please also read the posting guide! 
"www.R-project.org/posting-guide.html".  I believe that people who 
follow more closely that guide tend to get more useful answers quicker 
than people who don't.)

	  hope this helps,
	  spencer graves

Céline Hauzy wrote:

> Hello everybody !
> 
> I try to obtain in R eigenvectors and canonical analysis on MANOVA results, 
> but I don't find how to process?
> In particular, I would be interesting to obtain "standardized canonical 
> coefficients" of the canonical variates. There analysis give some 
> information on the correlation between response variates.
> 
> My data are organised in 2 terms (one is continu, one is a factor) and 3 
> response variates (continus).
> 
> summary(manova(cbind(dureeL,dureeI,dureeR)~denst*etatav, data=durt))
>                         Df  Pillai approx F num Df den Df    Pr(>F)
>          denst              1  0.3047  10.6629      3     73 6.795e-06 ***
>          etatav             1  0.1070   2.9146      3     73   0.03995 *
>          denst:etatav       1  0.0324   0.8138      3     73   0.49035
> Residuals              75
> ---
> Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
> 
> 
> I hope you can help me.
> best regards
> 
> Céline Hauzy
> 
> 
> 
> Céline Hauzy
> 
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