# tabulaterows: Frequency distribution of a sample of rankings In ConsRank: Compute the Median Ranking(s) According to the Kemeny's Axiomatic Approach

 tabulaterows R Documentation

## Frequency distribution of a sample of rankings

### Description

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

### Usage

``````tabulaterows(X, miss = FALSE)
``````

### Arguments

 `X` a N by M data matrix containing N judges judging M objects `miss` TRUE if there are missing data (either partial or incomplete rankings): default: FALSE

### Value

a "list" containing the following components:

 X the unique rankings Wk the frequency associated to each ranking tabfreq frequency table

### Author(s)

Antonio D'Ambrosio antdambr@unina.it

### Examples

``````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]))
rank2order(RF[maxfreq,1:5],items=colnames(Idea))
#
data(APAred)
TR<-tabulaterows(APAred)
#
data(APAFULL)
TR<-tabulaterows(APAFULL)
CR1<-consrank(TR\$X,wk=TR\$Wk)
CR2<-consrank(TR\$X,wk=TR\$Wk,algorithm="fast",itermax=15)
CR3<-consrank(TR\$X,wk=TR\$Wk,algorithm="quick")

``````

ConsRank documentation built on March 31, 2023, 7:25 p.m.