Ronaldo ,
It looks as though you have specified you model incorrectly.
In the Rats example ,the Treatment is the only fixed effect,Rat and Liver
are random effects
In aov testing for sig of 'Means' of Random Effects is pointless and that is
why 'p' values are not given.Further more the interacti
On 9/6/05, Ronaldo Reis-Jr. <[EMAIL PROTECTED]> wrote:
> Hi Spencer,
>
> Em Dom 04 Set 2005 20:31, Spencer Graves escreveu:
> > Others may know the answer to your question, but I don't. However,
> > since I have not seen a reply, I will offer a few comments:
> >
> > 1. What versi
Hi Spencer,
Em Dom 04 Set 2005 20:31, Spencer Graves escreveu:
> Others may know the answer to your question, but I don't. However,
> since I have not seen a reply, I will offer a few comments:
>
> 1. What version of R are you using? I just tried superficially
> similar things w
That's great. In your example, the aov fit is following by a warning:
> res2 <- aov(y ~ fix + Error(fix/R1/R2), data = dat)
Warning message:
Error() model is singular in: aov(y ~ fix + Error(fix/R1/R2), data = dat)
Moreover, to test whether your change was statistically sign
Hi
I think the problem is related to specifying "Tratamento" both
as a fixed factor and in the error term. I attached a script
with a reproducible example that shows a similar output.
I do not know the details of the original data and the questions
of interest, but maybe a model including "Tratame
Others may know the answer to your question, but I don't. However,
since I have not seen a reply, I will offer a few comments:
1. What version of R are you using? I just tried superficially
similar things with the examples in ?aov in R 2.1.1 patched and
consistently got F
Hi,
I have two doubts about the nested aov output.
1) I have this:
> anova.ratos <- aov(Glicogenio~Tratamento+Error(Tratamento/Rato/Figado))
> summary(anova.ratos)
Error: Tratamento
Df Sum Sq Mean Sq
Tratamento 2 1557.56 778.78
Error: Tratamento:Rato
Df Sum Sq Mean Sq F
