info, it is hard to help. Now, with that said, with lme
(or
mixed models) you have multiple variance components, so how would
you go
about computing eta-squared anyhow?
-Original Message-
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED] On Behalf Of Greg Trafton
Sent: Tuesday, Sept
(A repost of this request with a bit more detail)
Hi, All. I'd like to calculate effect sizes for aov or lme and seem
to have a bit of a problem. partial-eta squared would be my first
choice, but I'm open to suggestions.
I have a completely within design with 2 conditions (condition and
Hi, All. I'd like to calculate effect sizes for aov or lme and seem
to have a bit of problems. partial-eta squared would be my first
choice, but I'm open to suggestions.
Here is the aov version:
> fit.aov <- (aov(correct ~ cond * palette + Error(subject),
data=data))
> summary(fit.aov)
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