Hi list,
I have some anova issues...
I have a dataset comprised of two factor values and a dependent value.
The factors are patchiness and within patchiness I have 4 treatments.
So factor treatment is nested within factor patchiness. The dependent variable
is a lenght.
If I'm not mistaken my model would be:
model <- aov(length ~ patchiness + patchiness/treatments)
However there are a few issues:
First, the design is unbalanced because of missing values
Second, the variances across the different treatments and patchiness levels is
not equal (probably due to the patchiness level changes)
Third, the second parameter and the fact that the values are in a way discrete
produce a non normal distribution and heteroscedacity in my residuals if is
ignore everything and run the above model.
So is there still a way to tell if there is a difference in length for the
different patchiness levels and treatments?
Kind regards,
Koen
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