I'd like to do 2 ANOVA with repeated measurement.
First:response = "AS"
1.within-factor = "modal"
2.within-factor = "ref"
(all stairs of the factors are repeated measured) so that
random = "vp"
I did it like this: (anova(lme(AS~modal*ref,
Spencer Graves <[EMAIL PROTECTED]> writes:
> You need to say "library(nlme)" first.
Of course. But since he has alreade used lme to fit the models, he
must have loaded the library already. :-)
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Bjørn-Helge Mevik
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You need to say "library(nlme)" first. Without that, "?anove.lme" [in R
1.7.1 under Windows 2000] and produced for me the following:
Error in help("anova.lme", htmlhelp = FALSE) :
No documentation for `anova.lme' in specified packages and libraries:
you could try `help.search("anova.lm
It is documented in ?anova.lme:
> anova(res1, type="marginal")
and
> anova(res2, type="marginal")
should give equivalent tables.
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Bjørn-Helge Mevik
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The different answers reflect a lack of symmetry in the data set.
The standard "A+B" anova evaluates the effect of A by itself and B given
A. The other evalutes the effect of B by itself plus A given B. They
answer different questions. If you want the same answer from "A+B" as
from "B+A",
On Thu, 21 Aug 2003, Mahbub Latif wrote:
> Hi,
>
> I use lme to fit models like
>
> R> res1 <- lme(y~A+B, data=mydata, random=~1|subject)
> R> res2 <- lme(y~B+A, data=mydata, random=~1|subject)
>
> (only difference between these two models are the
> sequence in which the indep variables are wri
Yes. One way is to use anova(res1, type="marginal"). Read the help page
and the book (or any decent linear models book).
Andy
> -Original Message-
> From: Mahbub Latif [mailto:[EMAIL PROTECTED]
> Sent: Thursday, August 21, 2003 12:51 PM
> To: [EMAIL PROTECTED]
&g
Hi,
I use lme to fit models like
R> res1 <- lme(y~A+B, data=mydata, random=~1|subject)
R> res2 <- lme(y~B+A, data=mydata, random=~1|subject)
(only difference between these two models are the
sequence in which the indep variables are written in
formula)
where y is continuous and A, B, and subjec
