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9.866
2009 Feb 27
1
testing two-factor anova effects using model comparison approach with lm() and anova()
I wonder if someone could explain the behavior of the anova() and lm()
functions in the following situation:
I have a standard 3x2 factorial design, factorA has 3 levels, factorB has 2
levels, they are fully crossed. I have a dependent variable DV.
Of course I can do the following to get the usual anova table:
> anova(lm(DV~factorA+factorB+factorA:factorB))
Analysis of Variance Table