Frequency distribution of a sample of rankings

Description

Given a sample of preference rankings, it compute the frequency associated to each ranking

Usage

1

Arguments

X

a N by M data matrix containing N judges judging M objects

miss

TRUE if there are missing data (partial or uncomplete rankings): default: FALSE

Value

X

the unique rankings

Wk

the frequency associated to each ranking

tabfreq

frequency table

Author(s)

Sonia Amodio <sonia.amodio@unina.it>

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
data(Idea)
TR=tabulaterows(Idea)
FR=TR$Wk/sum(TR$Wk)
RF=cbind(TR$X,FR)
colnames(RF)=c(colnames(Idea),"fi")
#compute modal ranking
maxfreq=which(RF[,6]==max(RF[,6]))
labels(RF[maxfreq,1:5],5,colnames(Idea),labs=1)


data(APAred)
TR=tabulaterows(APAred)

data(APAFULL)
TR=tabulaterows(APAFULL)
CR1=EMCons(TR$X,TR$Wk)
CR2=FASTcons(TR$X,TR$Wk,maxiter=15)
CR3=QuickCons(TR$X,TR$Wk)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.