Greg You haven't really explained what your problem is. If it is conceptual (i.e., how do I do it) this is not really the right place for in-depth statistical advice, but it is often given. OTOH, if your problem is computational, please explain what that is? For example, maybe you know how to compute eta-squared, but you want to extract the variance component and you can't figure that out.
Without more 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, September 02, 2008 10:25 AM > To: r-help@r-project.org > Subject: [R] aov or lme effect size calculation > > (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 > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
