Hi,
I used the command lmer, in package lme4, to fit a random effects ANOVA. But i
didn't get the p-values of significance tests of variance components. Does
anyone know how to do it? Thanks,
Luis Ernesto
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From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Luis Salasar
Sent: Friday, November 24, 2006 1:57 PM
To: r-help@stat.math.ethz.ch
Subject: [R] Random effects ANOVA
Hi,
I used the command lmer, in package lme4, to fit a random
effects ANOVA
On 3/30/06, Prof Brian Ripley [EMAIL PROTECTED] wrote:
I think you want print or summary rather than anova. anova() is not very
useful for aov() models even without error strata.
That's sort of better. summary(aov(time ~ drink + Error(video),
data = df));
gives me:
Error: video
Chris Bergstresser [EMAIL PROTECTED] writes:
On 3/30/06, Prof Brian Ripley [EMAIL PROTECTED] wrote:
I think you want print or summary rather than anova. anova() is not very
useful for aov() models even without error strata.
That's sort of better. summary(aov(time ~ drink +
On 30 Mar 2006 22:41:51 +0200, Peter Dalgaard [EMAIL PROTECTED] wrote:
Not quite sure whether
time ~ drink + video + Error(video:drink)
works. It might, although it is a bit unnatural to have a random
interaction between to systematic effects.
This exactly reproduces the given SAS
Hi all --
So I have a very simple dataset, which consists of 60 subjects,
who watched one of three videos, drank one of two drinks, and
completed a task. The response variable is the time to complete the
task. The ANOVA command is simple enough: anova(aov(time ~ drink *
video, data = df));
I think you want print or summary rather than anova. anova() is not very
useful for aov() models even without error strata. The point of the aov
classes is that they present the results of lm() fits in ways which are
more conventional for designed experiments, including giving conventional
