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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)
dominanceAnalysis object
name of the fit indices to retrieve. If NULL, all fit indices will be retrieved
a list. Key corresponds to fit-index and the value is a matrix, with contribution of each variable by level
Other retrieval methods: averageContribution(), dominanceBriefing(), dominanceMatrix(), getFits()
averageContribution()
dominanceBriefing()
dominanceMatrix()
getFits()
# NOT RUN { data(longley) da.longley<-dominanceAnalysis(lm(Employed~.,longley)) contributionByLevel(da.longley) # }
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