Retrieve the average contribution by level for each predictor in a dominance analysis. The average contribution defines conditional dominance.
contributionByLevel(da.object, fit.functions = NULL)
a list. Key corresponds to fit-index and the value is a matrix, with contribution of each variable by level
dominanceAnalysis object
name of the fit indices to retrieve. If NULL, all fit indices will be retrieved
Other retrieval methods:
averageContribution()
,
dominanceBriefing()
,
dominanceMatrix()
,
getFits()
data(longley)
da.longley<-dominanceAnalysis(lm(Employed~.,longley))
contributionByLevel(da.longley)
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