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

## Description

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

## Usage

 `1` ```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

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17``` ```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 Sept. 28, 2021, 5:07 p.m.