RankAggregator (version 0.0.1)

consensusRanking: Rank aggregation of partial rankings

Description

This function is the core function for the RankAggregator package. This function uses a branch and bound algorithm, described by Cook et al. (2007), to return a best consensus (or median) ranking for a set of (partial) rankings.

Usage

consensusRanking(x)

Arguments

x

a data.frame containing columns titled Reviewer, Item, Ranking. On data structure, Reviewer and Item must be character, and Ranking must be numeric. Each row of x identifes the rank position that a single Reviewer awarded a single Item

Value

A data.frame is returned, with two columns: Item and Rank, where Item is a Factor containing all unique Item's from the input data.frame x, and where Rank is the estimated (numeric) rank position based on the branch and bound rank aggregation procedure.

See Also

This function calls internal functions evaluationMatrix, extendRanking, lowerBound, and upperBound

Examples

# NOT RUN {
consensusRanking(cook_example)
# }