plotRadarPerformanceTable {MCDA}

Function to plot radar plots of alternatives of a performance table.

Description

Plots radar plots of alternatives contained in a performance table, either in one radar plot, or on multiple radar plots. For a given alternative, the plot shows how far above/below average (the thick black line) each of the criteria performances values are (average taken w.r.t. to the filtered performance table).

Usage

plotRadarPerformanceTable(
  performanceTable,
  criteriaMinMax = NULL,
  alternativesIDs = NULL,
  criteriaIDs = NULL,
  overlay = FALSE,
  bw = FALSE,
  lwd = 2
)

Arguments

performanceTable

A matrix containing the performance table to be plotted. The columns are labelled according to the criteria IDs, and the rows according to the alternatives IDs.

criteriaMinMax

Vector indicating whether criteria should be minimized or maximized. If it is given, a "higher" value in the radar plot corresponds to a more preferred value according to the decision maker. "min" (resp. "max") indicates that the criterion has to be minimized (maximized). The elements are named according to the IDs of the criteria.

alternativesIDs

Vector containing IDs of alternatives, according to which the data should be filtered.

criteriaIDs

Vector containing IDs of criteria, according to which the data should be filtered.

overlay

Boolean value indicating if the plots should be overlayed on one plot (TRUE), or not (FALSE)

bw

Boolean value indicating if the plots should be in black/white (TRUE) or color (FALSE)

lwd

Value indicating the line width of the plot.

Examples

library(MCDA)

performanceTable <- matrix(runif(6*9), ncol=6)

row.names(performanceTable) <- c("x1","x2","x3","x4","x5","x6","x7","x8","x9")

colnames(performanceTable) <- c("g1","g2","g3","g4","g5","g6")

criteriaMinMax <- c("min","max","min","max","min","max")

names(criteriaMinMax) <- c("g1","g2","g3","g4","g5","g6")

# plotRadarPerformanceTable(performanceTable, criteriaMinMax, overlay=TRUE)

plotRadarPerformanceTable(performanceTable, criteriaMinMax, 
                          alternativesIDs = c("x1","x2","x3","x4"), 
                          criteriaIDs = c("g1","g3","g4","g5","g6"), 
                          overlay=FALSE, bw=FALSE)

# plotRadarPerformanceTable(performanceTable, criteriaMinMax, 
#                          alternativesIDs = c("x1","x2"), 
#                          criteriaIDs = c("g1","g3","g4","g5","g6"),
#                          overlay=FALSE)