RankAggreg (version 0.6.6)

plot.raggr: Plot function for raggr object returned by RankAggreg or BruteAggreg

Description

Plots individual ordered lists with the corresponding solution. Optionally, naive average rank aggregation can be added.

Usage

# S3 method for raggr
plot(x, show.average = TRUE, show.legend = TRUE, colR="red", ...)

Arguments

x

raggr object returned by RankAggreg

show.average

boolean if average aggregation to be plotted

show.legend

boolean if the legend is to be displayed

colR

specifies the color for the resulting list

…

additional plotting parameters

Value

Nothing is returned

Details

The function plots individual lists and the solution using ranks only (weights are not used at any time). Optional average rank aggregation can be performed and visualized. Average rank aggregation is a simple aggregation procedure which computes the average ranks for each unique element accross and orders them from the smallest to the largest value.

References

Pihur, V., Datta, S., and Datta, S. (2007) "Weighted rank aggregation of cluster validation measures: a Monte Carlo cross-entropy approach" Bioinformatics, 23(13):1607-1615

See Also

RankAggreg, BruteAggreg

Examples

# NOT RUN {
# rank aggregation without weights
x <- matrix(c("A", "B", "C", "D", "E",
        "B", "D", "A", "E", "C",
        "B", "A", "E", "C", "D",
        "A", "D", "B", "C", "E"), byrow=TRUE, ncol=5)

(CES <- RankAggreg(x, 5, method="CE", distance="Spearman", rho=.1, verbose=FALSE))
plot(CES)
# }