Is aov
appropriate for unbalanced datasets. According to help ...provides a wrapper to lm for fitting linear models to balanced or unbalanced experimental designs
. But later on it says aov is designed for balanced designs, and the results can be hard to interpret without balance
.
How should I perform a 2-way anova on an unbalanced dataset in R?
I would like to reproduce the different results for type I and type III sum of squares of SAS
output (when using proc glm
). I remember we were using type III sum of squares
for unbalanced datasets.
Thank you in advance.