varVoting: Voting Win method for variable selection and importance

In jkapila/vcvn: Variable Selection, Curve Fitting, Variable Conversion and Normalisation

Description

Voting Win method for variable selection and importance

Usage

varVoting(variableWeightageMatrix, candidateColumn = NULL, isRanked = FALSE)

Arguments

variableWeightageMatrix	A matrix of variables and there scores based on methods
candidateColumn	The column which should be treated as column for candidates. If NULL first clumn will be treated as candidate column.
isRanked	A logical. Is the matrix supplied with ranks or raw scores?

Value

A Ranked data frame with average rank scores

Examples

namedVotes <- read.table(header = T,text = " Candidates Vote_A Vote_B Vote_C Vote_D Vote_E Vote_F Vote_G Vote_H
 Albert      1      2      1      3      2      1      3      4
 Bruce      2      4      5      4      5      4      1      2
 Charles      3      1      3      1      1      2      4      5
 David      4      5      2      5      4      5      2      1
 Edward      5      3      4      2      3      3      5      3")

varVoting(namedVotes,isranked = TRUE)

jkapila/vcvn documentation built on May 19, 2019, 4:05 p.m.