Is there no cross validation package that works for anova/aov objects? I can't find anything useful. Want to compute cv eta squared. #rstats
It's useful bc large betas for some levels do not mean categorical predictor has large effect. Depends on base rates of levels.
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Multiple packages provide eta^2 (lsr, ez, heplots, ...), but only the regular version, not cross validated.
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But I guess I will have to expand my cross validation function to cover this use case since it seems to be missing.
End of conversation
New conversation -
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Sure, tho that's already reflected in SE(beta), since the more rare the level, the less variance the dummy, hence greater SE
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