Hi,
I am wondering how I can separate whether it is covariate or predictor in the
ANOVA analysis. For example
A<-structure(list(Machine = c(1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 3L, 3L, 3L, 3L, 3L), Diameter = c(20L, 25L, 24L, 25L, 32L,
22L, 28L, 22L, 30L, 28L, 21L, 23L, 26L, 21L, 15L), Strength = c(36L,
41L, 39L, 42L, 49L, 40L, 48L, 39L, 45L, 44L, 35L, 37L, 42L, 34L,
32L)), .Names = c("Machine", "Diameter", "Strength"), class = "data.frame",
row.names = c(NA,
-15L))
attach(A)
b<-aov(Strength~Diameter)
summary(b)
c<-aov(Strength~Diameter+as.factor(Machine))
summary(c)
I am confused here whether the "Mechine" is covariate or predictor. How do I
know which one is covariate and predictor?
If Machine is predictor (just like Diameter), how I am supposed to write in the
model?
is the equation (below) for this one in the condition that the Machine is
predictor?
c1<-aov(Strength~Diameter+Machine), ?????. If it is so, it means that
co-variate is dummy variable, right????
Your help will really help me to clear the concept.
Thanks
KG
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