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 class 'raggr'
plot(x, show.average = TRUE, show.legend = TRUE, colR="red", ...)

Arguments

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.

Value

Nothing is returned

Author(s)

Vasyl Pihur, Somnath Datta, Susmita Datta

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

# 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)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(RankAggreg)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/RankAggreg/plot.raggr.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plot.raggr
> ### Title: Plot function for raggr object returned by RankAggreg or
> ###   BruteAggreg
> ### Aliases: plot.raggr
> ### Keywords: optimize robust
> 
> ### ** Examples
> 
> # 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))
The optimal list is: 
        A B D C E

  Algorithm:   CE
  Distance:    Spearman
  Score:       4 
> plot(CES)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>