I have the R code at the end. The last command gives me "1 observation
deleted due to missingness". I don't understand what this error
message. Could somebody help me understand it and how to fix the
problem?
> summary(afit)
Df Sum Sq Mean Sq F value Pr(>F)
A 2 0.328 0.16382 0.1899 0.82727
B 3 2.882 0.96057 1.1136 0.34644
C 4 1.676 0.41897 0.4857 0.74617
A:B 6 5.133 0.85554 0.9919 0.43404
A:C 8 14.193 1.77406 2.0568 0.04543 *
B:C 12 7.244 0.60366 0.6999 0.74896
A:B:C 24 19.849 0.82705 0.9589 0.52442
Residuals 119 102.642 0.86254
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
1 observation deleted due to missingness
#######################
a=3
b=4
c=5
A=1:a
B=1:b
C=1:c
n=3
X=matrix(nr=a*b*c*n,nc=n)
colnames(X)=LETTERS[1:n]
for(i_a in 1:a-1) {
for(i_b in 1:b-1) {
for(i_c in 1:c-1) {
for(i_n in 1:n-1) {
X[((i_a * b + i_b) * c + i_c) * n + i_n + 1, ] = c(i_a+1, i_b+1, i_c+1)
}
}
}
}
set.seed(0)
Y=matrix(nr=a*b*c*n,nc=1)
for(i in 1:(a*b*c)) {
for(i_n in 1:n-1) {
fa=X[i,'A']
fb=X[i,'B']
fc=X[i,'C']
#Y[(i-1)*n+i_n,1]= fa +fb +fc +fa*fb +fa*fc +fb*fc +fa*fb*fc + rnorm(1)
Y[(i-1)*n+i_n,1]= rnorm(1)
}
}
aframe = data.frame(
A=as.factor(X[,'A'])
, B=as.factor(X[,'B'])
, C=as.factor(X[,'C'])
, Y)
afit=aov(Y ~ A * B * C, aframe)
summary(afit)
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