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I am in the process of testing my variances to see if I meet the assumptions of a two way ANOVA. While doing this, I was wondering exactly what I have to test.

For example, I used the Fligner Test to test the variances of the interaction: fligner.test(Pros_Width~interaction(Fouling,Sex),data=Pros_Fouling). Would I also need to test my independent variables by themselves such as :

fligner.test(Pros_Width~Sex)

fligner.test(Pros_Width~Fouling)

And if any of these 3 tests were significant, then I would not meet the assumptions of a two way ANOVA? Should I transform if not, or try to find a non-parametric version?

kjetil b halvorsen
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Krystal
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  • Perhaps this Q&A may help http://stats.stackexchange.com/questions/55473/can-i-justify-performing-a-two-way-anova-where-data-is-normally-distributed-but?rq=1 you. – mdewey Dec 03 '16 at 16:24

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