Hello Everyone, *Question: *How do you calculate the sum of squares for a two-way _unbalanced_ ANOVA?
*What I have done:* I have found many useful tutorials online for running a balanced two-way ANOVA but I haven't had much luck for running a unbalanced two-way ANOVA. From what I have read, the trouble with running an unbalanced two-way ANOVA, is that things get tricky when calculating the sum of squares for two factors and the interaction term. *What I am stuck on:* So far what I have done is applied my data to this helpful tutorial: http://www.biw.kuleuven.be/vakken/statisticsbyr/ANOVAbyRr/UnbalancedTwoWayANOVA.htm I found that my interaction term was insignificant, so my model was reduced to a two-factor model. But then I got stuck on the part where I use a general linear test (GLT) to determine whether I should use a two- or one- factor model to get my correct sum of squares decomposition for my unbalanced ANOVA. I found that there was significance between my two- and one- factor models (p=2.124x10^-6). But now I do not know which model to use for obtaining the correct sum of squares for my unbalanced two-way ANOVA. I am still a novice at writing R code (~6ish months of experience) so I apologize if there is any error in how I delivered this message. Any help regarding this topic would be most appreciated. Please try to make any replies as simple as possible, most code in R is still new to me. Thanks for reading! [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
