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machine_1
1999 Nov 08
1
Nested Designs
Dear R list,
What is the proper way to specify a nested model so that
the F values agree with the expected mean square errors?
Specifically, suppose I have a design where "Heads" are
nested within "Machines". I would like to model the
following Y_ijk = Mu + Machine_i +Head_j(i) +Error_k(ij).
Using the commands below,
> summary(aov(Strain~Machine + Head%in%Machine ))
Df Sum Sq Mean Sq F value Pr(>F)
Machine 4 45.07 11.27 1.0532 0.38762
Machine:Head 15 282.87 18.86 1.7625 0.06252 .
Residuals 60 642.00 10.70
the...