Description Format References Examples
The popular American Psychological Association dataset (d_apa
)
contains the results of the voting ballots of the 1980 presidential
election. A total of N=15449 voters ranked a maximum of K=5
candidates, conventionally classified as research psychologists (candidate 1
and 3), clinical psychologists (candidate 4 and 5) and community
psychologists (candidate 2). The winner of the election was candidate 3. The
dataset is composed of partial top orderings of varying lengths. Missing
positions are denoted with zero entries.
Object of S3 class c("top_ordering","matrix")
gathering a
matrix of partial orderings with N=15449 rows and K=5 columns
Each row lists the candidates from the most-liked (Rank_1
) to the
least-liked (Rank_5
) in a given voting ballot.
Mollica, C. and Tardella, L. (2017). Bayesian Plackett-Luce mixture models for partially ranked data. Psychometrika, 82(2), pages 442–258, ISSN: 0033-3123, DOI: 10.1007/s11336-016-9530-0.
Diaconis, P. W. (1988). Group representations in probability and statistics. Lecture Notes-Monograph Series, pages 94–96.
Diaconis, P. W. (1987). Spectral analysis for ranked data. Technical Report 282, Dept of Statistics, Stanford University.
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