    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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