contributionByLevel: Retrieve average contribution by level for each predictor

In clbustos/dominanceAnalysis: Dominance Analysis

Retrieve average contribution by level for each predictor

Description

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

Usage

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

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

clbustos/dominanceAnalysis documentation built on March 8, 2024, 5:22 a.m.