search for: outliersremov

...n example). Using ezANOVA, I can include covariates but the output does not show the F-statistic and p-values for interactions 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...