Skip to contents

Outranking matrix

Source: R/aggregate.R
outrankMatrix.Rd

Constructs an outranking matrix based on a data frame of indicator data and corresponding weights.

Usage

outrankMatrix(X, w = NULL)

Arguments

X

A data frame or matrix of indicator data, with observations as rows and indicators as columns. No other columns should be present (e.g. label columns).

w

A vector of weights, which should have length equal to ncol(X). Weights are relative and will be re-scaled to sum to 1. If w is not specified, defaults to equal weights.

Value

A list with:

  • .$OutRankMatrix the outranking matrix with nrow(X) rows and columns (matrix class).

  • .$nDominant the number of dominance/robust pairs

  • .$fracDominant the percentage of dominance/robust pairs

Examples

# get a sample of a few indicators
ind_data <- COINr::ASEM_iData[12:16]
# calculate outranking matrix
outlist <- outrankMatrix(ind_data)
#> No weights specified for outranking matrix, using equal weights.
# see fraction of dominant pairs (robustness)
outlist$fracDominant
#> [1] 0.2533333