Hello all,
I�m trying to study a factorial design, but I can�t understand why did Df, Sum Sq
and Mean Sq of residuals alter when I Split the interaction? I think that Split the
interaction must not alter the residuals. Am I doing something wrong?
Could anyone help me?
My data and functions I tried are:
Y<-c(196,213,183,
192,253,199,
251,331,276,
128,220,196,
272,275,227,
204,305,185,
135,322,276,
262,284,250,
272,275,227,
204,305,185,
135,322,276,
262,284,250,
296,369,344,
325,396,403,
370,323,319,
341,418,318)
A<-factor(rep(c(0,1),c(24,24)))
B<-factor(rep(c(0,1,0,1),c(12,12,12,12)))
C<-factor(rep(c(rep(0:3,each=3)),times=4))
av <- aov(Y ~ A + B + A*B + C + A*C + B*C + A*B*C )
summary(av)
avAB <- aov(Y ~ A/B)
summary (avAB, split=list("A:B"=list(A1=1, A2=2)))
avBA <- aov(Y ~ B/A)
summary (avBA, split=list("B:A"=list(B1=1, B2=2)))
Thanks
Cecilia
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