contributionByLevel: Retrieve average contribution by level for each predictor

Description Usage Arguments Value See Also Examples

View source: R/contributionByLevel.r

Description

Retrieve the average contribution by level for each predictor in a dominance analysis. The average contribution defines conditional dominance.

Usage

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contributionByLevel(da.object, fit.functions = NULL)

Arguments

da.object

dominanceAnalysis object

fit.functions

name of the fit indices to retrieve. If NULL, all fit indices will be retrieved

Value

a list. Key corresponds to fit-index and the value is a matrix, with contribution of each variable by level

See Also

Other retrieval methods: averageContribution(), dominanceBriefing(), dominanceMatrix(), getFits()

Examples

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data(longley)
da.longley<-dominanceAnalysis(lm(Employed~.,longley))
contributionByLevel(da.longley)

dominanceanalysis documentation built on Jan. 13, 2021, 3:47 p.m.