APA: rank data : APA

In Rankcluster: Model-Based Clustering for Multivariate Partial Ranking Data

Description

This dataset contains the 5738 full rankings resulting from the American Psychological Association (APA) presidential election of 1980. For this election, members of APA had to rank five candidates in order of preference.

For information, a total of 15449 votes have been registred for this election, but only the 5738 full rankings are reported in the APA dataset. Candidates A and C were research psychologists, candidates D and E were clinical psychologists and candidate B was a community psychologist.

Format

A list containing :

data

matrix of size 5738x5 containing the 5738 observed full ranks in ranking representation. The ranking representation r=(r_1,...,r_m) contains the ranks assigned to the objects, and means that the ith object is in r_ith position.

For example, if the ranking representation of a rank is (4,3,1,2,5), it means that judge ranks the first object in 4th position, second object in 3rd position, ...

frequency

matrix of size 120x6. Each row corresponds to one of the different observed rank. The first fifth columns contains the observed ranks (ordering representation) and the sixth column contains the frequency of observation.

m

vector with the size of the ranks (5 here).

Source

"Group representations in probability and statistics", P. Diaconis, 1988.

Examples

data(APA)
 

Example output

WARNING : Since Rancluster 0.92, the ranks have to be given to the package in the ranking notation (see convertRank function), with the following convention :
- missing positions are replaced by 0
- tied are replaced by the lowest position they share

Rankcluster documentation built on Aug. 26, 2019, 3 p.m.