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
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It's useful bc large betas for some levels do not mean categorical predictor has large effect. Depends on base rates of levels.
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.
Thanks. Twitter will use this to make your timeline better. UndoUndo
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What's even the definition of CV eta^2 for (groups of) predictors? Can think of reasonable candidate, but dunno if it's used
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Just use k fold cv to get it as done for continuous predictors.
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Uh, okay
End of conversation
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