rankings: Rankings

In HighestMedianRules: Implementation of Voting Rules Electing the Candidate with Highest Median Grade

Description

Returns a matrix with the scores of candidates sorted in decreasing order of score mj, for the five following voting rules (with k=0.5): mj, d, s, n, mean. See function 'score' for more details.

Usage

rankings(
  grades,
  scale = c(),
  names = row.names(grades),
  return_distance = FALSE,
  rounds = TRUE
)

Arguments

grades	A voting profile, i.e. a matrix with the shares of grades of each candidate on each row, from the lowest grade to the highest.
scale	A numeric vector containing the values of the scale of grades. Default to c((floor(-length(grades)/2)+1):(length(grades)+floor(-length(grades)/2))).
names	String vector, each string to be printed in case print = TRUE. Defaults to c().
return_distance	If TRUE, returns the Kendall distance between the rules (using AllKendall) instead of the matrix of scores. Default to FALSE.
rounds	If TRUE, rounds the scores (to 3 digits for highest median rules and 2 digits for range voting). Default to TRUE.

Value

A character matrix with as many rows as elements of grades, and with the name, gauge and scores (according to five different rules) on each row.

Examples

rankings(elec2012, scale=-2:4)

HighestMedianRules documentation built on March 26, 2020, 7:28 p.m.