I think you are applying effects to the summary, but you would need to apply it to each stratum in turn, e.g. effects(fit[[2]])
Consider example(aov) effects(npk.aov[[3]]) On Wed, 25 Jun 2003, Peter Ho wrote: > Hi all, > > Does anyone know how I might be able to extract effects estimates from > an unreplicated blocked factorial design? > My aov model was the following: > > aov(AM ~ Tf*Tm*Pl*Ps*Mc*M0*M1*M2*M3+Error(Batch), initial) > > Using effects() , I get the following response: > > > effects(CV.unreplicated.block.aov.summary) > Error in effects(CV.unreplicated.block.aov.summary) : > no applicable method for "effects" > > Thanks > > Peter > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://www.stat.math.ethz.ch/mailman/listinfo/r-help > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
