(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
palette).
Here is the aov version:
> fit.aov <- (aov(correct ~ cond * palette + Error(subject),
data=data))
> summary(fit.aov)
Error: subject
Df Sum Sq Mean Sq F value Pr(>F)
Residuals 15 0.17326 0.01155
Error: Within
Df Sum Sq Mean Sq F value Pr(>F)
cond 1 0.32890 0.32890 52.047 4.906e-09 ***
palette 1 0.21971 0.21971 34.768 4.447e-07 ***
cond:palette 1 0.50387 0.50387 79.735 1.594e-11 ***
Residuals 45 0.28437 0.00632
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
and here is the lme version:
> fm1 <- lme(correct ~ cond * palette, random=~1 | subject, data=data)
> anova(fm1)
numDF denDF F-value p-value
(Intercept) 1 45 4031.042 <.0001
cond 1 45 52.047 <.0001
palette 1 45 34.768 <.0001
cond:palette 1 45 79.735 <.0001
Thanks so much!
Greg
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