Dear R gurus, I have the following model:
appcov.aov <- aov(yield ~ prevyield + trt + block)
where prevyield is a continuous numeric covariate and trt and block are factors (yes, I did factor()!)
Now, when I do a TukeyHSD, my diff's are all screwed up!
For instance:
treatment mean for treatmen "E" is 277.25 and for treatment "O" is 279.5, so I figure the diff O-E should be 2.25, but TukeyHSD says:
diff lwr upr O-E -50.817101 -84.8112057 -16.822996
So I wonder where is that -50.8 coming from???
Anybody have a clue?
Thanks a lot!
PS: it works if I take prevyield (the covariate) out of the model, but the point is I need to analyse it with the covariate.
Thanks again
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