RankSummary-class: Class RankSummary
In staRank: Stability Ranking

Description Usage Arguments Examples

A class containing different rankings of a dataset further summary information like the stable set sizes, a correlation matrix of the rankings, the name of the base ranking method, the function call and if needed the Pi matrix of the stabilityRanking.

Slots

baseRank:: a numeric vector containing the base ranking
stabRank:: a numeric vector containing the stability ranking
avrgRank:: a numeric vector containing the average ranking
stableSetSize:: the sizes of the stable sets for each cutoff
rankCor: Spearman's rank correlation coefficient for the three rankings
method: the used method
Pi:: a matrix containing

Accessors

baseRank
stabRank
avrgRank
stableSetSize
rankCor
method
Pi

Methods

show
summary

RankSummary objects can be created using the constructor RankSummary, however this is most likely not needed.

  RankSummary(baseRank = 0, stabRank = 0, avrgRank = 0,
    stableSetSize = 0,
    rankCor = matrix(NA, nrow = 3, ncol = 3), method = "",
    Pi = matrix(NA, nrow = 1, ncol = 1))

`baseRank`	a numeric vector containing the base ranking
`stabRank`	a numeric vector containing the stability ranking
`avrgRank`	a numeric vector containing the average ranking
`stableSetSize`	the sizes of the stable sets for each cutoff
`rankCor`	Spearman's rank correlation coefficient for the three rankings
`method`	the used method
`Pi`	a matrix containing

# overview of RankSummary class
showClass("RankSummary")
# generate dataset
d<-replicate(4,sample(1:10,10,replace=FALSE))
rownames(d)<-letters[1:10]
# run default stability ranking
s<-stabilityRanking(d)
# using an accessor functions on the RankSummary object
stabRank(s)
rankCor(s)
# create a new empty object of class RankSummary using the constructor
RankSummary()