search for: demoninator

I have an unbalanced design I would like to run a power analysis on. What I have been able to find has pointed me to using the pwr.f2.test function as described below. My problem is that I don't know how to appropriately define the numerator and demoninator df. If someone can help here is some more info about my design. It is an unbalanced 2^3 x 3 design where the factor with 3 levels is a random effect. So say there are factors A, B, C with 2 levels and D with 3 levels A will have 77 observations at level -1 and 19 at 1 B will have 67 at -1 and 29...

...are not exact and are really only upper bounds. I am interpreting what he said but I am not a professional statistician, so I might be getting this wrong... Does anyone know of any more recent results, perhaps from simulations, that quantify the degree of bias that using such upper bounds for the demoninator degrees of freedom produces? Is it possible to calculate a lower bounds for such degrees of freedom? Thanks for any help. Bill Shipley North American Editor, Annals of Botany Editor, "Population and Community Biology" series, Springer Publishing D?partement de biologie, Universit? de S...

Dear R users I have run an regression and want to extract the p value of the F statistics, but I can find a way to do that. x<-summary(lm(log(RV2)~log(IV.m),data=b)) Call: lm(formula = log(RV2) ~ log(IV.m), data = b[[11]]) Residuals: Min 1Q Median 3Q Max -0.26511 -0.09718 -0.01326 0.11095 0.29777 Coefficients: Estimate Std. Error t value Pr(>|t|)