search for: return_aov

...ons with the covariate - the main effect of the covariate is also not tested using this method. My ezANOVA model is as follows: aov.model<-ezANOVA( data=textureView.child.outliersRemoved , dv=.(x) , wid=.(ID) , within=.(Texture,View) , between=.(TNOGroup) , between_covariates=.(Age) , type=3 , return_aov=TRUE ) Another option is to use lm or Anova, but I don't know how to specify the error terms properly for either and I'm limited because I want to use Type-III sums of squares (drop1 doesn't work in the cases where I've tried to use the aov wrapper for lm; it fails while report...

...fails, the first line of results from stats:aov is cut off. - Added more nuanced treatment of numeric variables - Added type argument to specify sums-of-squares type selection (1,2, or 3) - Added white.adjust argument to permit heteroscedasticity adjustment (see ?car::Anova) - Added return_aov argument to permit returning a stats:aov object along with results (this was requested by a user seeking to use the aov object to compute contrasts) - ezMixed - IMPORTANT: Fixed bug such that only the last specified random effect was implemented - fixed bug such that an error occurred if on...

...fails, the first line of results from stats:aov is cut off. - Added more nuanced treatment of numeric variables - Added type argument to specify sums-of-squares type selection (1,2, or 3) - Added white.adjust argument to permit heteroscedasticity adjustment (see ?car::Anova) - Added return_aov argument to permit returning a stats:aov object along with results (this was requested by a user seeking to use the aov object to compute contrasts) - ezMixed - IMPORTANT: Fixed bug such that only the last specified random effect was implemented - fixed bug such that an error occurred if on...