spencer.graves at pdf.com
Tue Sep 9 12:23:51 CEST 2003
To expand on Winfried's comments, you may wish to try the following
before considering multivariate:
anova(lm(OQtil4 ~ Tone, data=gesamt))
and similarly for your other response variables. There are ways of
putting this kind of thing in a loop, storing only the p values or
whatever you want. However, unless you need a routine to do this many
times, it's probably best to just do it like this and be done with it.
hope this helps. spencer graves
Winfried Theis wrote:
> Hi Britta!
> On Tue, 2003-09-09 at 10:57, Britta Lintfert wrote:
>>now I want to know, if there are significant differents in the variables
>>OQ, GO, SK, RC depending on Tone. This I can do with an ANOVA , or??
> Yes, this is correct.
>>But when I start aov in R I get the following message:
>>anova1 <- aov(Tone ~ OQtil4*OQ0*GOtil4*GO0*SKrhsJ*SK0*RCrhsJ*RC0,
>>"-" not meaningful for factors in: Ops.factor(y, z$residuals)
>>What's wrong with my Data?
> Nothing. It is your call to aov that is wrong. Formulas in R are
> formulated as "Dependent variable" ~ "influences". So what you are
> trying to do is to explain Tone by all your other variables and their
> interactions. If your variables are independent you may simply go ahead
> and use aov on each of them. Look first for a book on multivariate
> linear models...
>>Thanks for helping me
> You're welcome.
>>Britta.Lintfert at IMS.Uni-Stuttgart.de
>>Institut für Maschinelle Sprachverarbeitung
>>der Universität Stuttgart Tel.: 0049/711/121-1372
>>Azenbergstr. 12, D-70174 Stuttgart Fax.: 0049/711/121-1366
>>R-help at stat.math.ethz.ch mailing list
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