RankSummary-class {staRank} | R Documentation |
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
Methods
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()