plotMARE: Plot Multi-Attribute Range Evaluations (MARE)

In paterijk/MCDA: Support for the Multicriteria Decision Aiding Process

Plot Multi-Attribute Range Evaluations (MARE)

Description

Plots the output of function MARE()

Usage

plotMARE(x)

Arguments

x	Output from function MARE()

Examples

performanceTableMin <- t(matrix(c(78,87,79,19,8,68,74,8,90,89,74.5,9,20,81,30),
                                  nrow=3,ncol=5, byrow=TRUE)) 
performanceTable <- t(matrix(c(80,87,86,19,8,70,74,10,90,89,75,9,33,82,30),
                                nrow=3,ncol=5, byrow=TRUE))
performanceTableMax <- t(matrix(c(81,87,95,19,8,72,74,15,90,89,75.5,9,36,84,30),
                                   nrow=3,ncol=5, byrow=TRUE))  

row.names(performanceTable) <- c("Yield","Toxicity","Cost","Separation","Odour")
colnames(performanceTable) <- c("Route One","Route Two","Route Three")
row.names(performanceTableMin) <- row.names(performanceTable)
colnames(performanceTableMin) <- colnames(performanceTable)
row.names(performanceTableMax) <- row.names(performanceTable)
colnames(performanceTableMax) <- colnames(performanceTable)

weights <- c(0.339,0.077,0.434,0.127,0.023) 
names(weights) <- row.names(performanceTable)

criteriaMinMax <- c("max", "max", "max", "max", "max")
names(criteriaMinMax) <- row.names(performanceTable)

overall1 <- MARE(performanceTableMin, performanceTable, performanceTableMax, 
                           weights, criteriaMinMax)
plotMARE(overall1)

overall2 <- MARE(performanceTableMin,
                    performanceTable,
                    performanceTableMax, 
                    weights,
                    criteriaMinMax, 
                    alternativesIDs = c("Route Two","Route Three"),
                    criteriaIDs = c("Yield","Toxicity","Cost","Separation"))
plotMARE(overall2)

paterijk/MCDA documentation built on April 7, 2023, 8:31 p.m.