On Tue, 9 Jan 2007, Walter Durka wrote:
dear all,
Walter,
_please_ cc questions on contributed packages to the maintainer, since not
everybody follows r-help closely...
I want to perform a posthoc test for my ANCOVA:
a1<-aov(seeds~treatment*length)
With
summary(glht(a1, linfct = mcp(treatment = "Tukey")))
R tells me: "covariate interactions found -- please choose appropriate
contrast"
one needs to specify a certain value for `length' which, I assume, is a
numeric covariate, right? The current interface doesn't support this (this
on my to-do-list), however, you can set up the matrix of linear functions
by yourself (contact me privately if you have problems to do that).
How do I build these contrasts?
Ideally, I would like to have the posthoc test for the ANCOVA including
a block-effect
a2<-aov(seeds~treatment*length+Error(site))
How do I make a posthoc test here?
its on the to-do-list as well :-(
Torsten
Thanks for any comments
Walter
--
*****
Dr. Walter Durka
Department Bioz?noseforschung
Department of community ecology
Helmholtz-Zentrum f?r Umweltforschung GmbH - UFZ
Helmholtz Centre for Environmental Research - UFZ
Theodor-Lieser-Str. 4 / 06120 Halle / Germany
[EMAIL PROTECTED] / http://www.ufz.de/index.php?en=798
phone +49 345 558 5314 / Fax +49 345 558 5329
+++++++++++++++++++++++++++++++++++++++++++++++++
Das UFZ hat einen neuen Namen:
Helmholtz-Zentrum f?r Umweltforschung GmbH - UFZ
The UFZ has a new name:
Helmholtz Centre for Environmental Research - UFZ
+++++++++++++++++++++++++++++++++++++++++++++++++
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
