classclustermeds function

Gets matrices of medians for each individual sample for all measured parameters for all clusters

classclustermeds(citrus.foldFeatureSet, citrus.foldClustering,
  citrus.combinedFCSSet, groupsizes, meds)

Arguments

• citrus.foldFeatureSet: computed from first two variables using citrus.calculateFoldFeatureSet function from citrus package
• citrus.foldClustering: loaded from citrusClustering.RData file generated by Citrus run
• citrus.combinedFCSSet: loaded from citrusClustering.RData file generated by Citrus run
• groupsizes: list of sizeso f the groups run in Citrus, in order of the selection for citrus run
• meds: The names of the columns from citrus.combinedFCSSet$data of interest to extract medians for

Returns

Returns a list of matrices with columns corresponding to selected features and rows corresponding to sample groups; each list element corresponds to data for a different cluster

Examples

library(mineCitrus)
data("citrus.combinedFCSSet")
data("citrus.foldClustering")
data("citrus.foldFeatureSet")
meds<-allmeds(citrus.combinedFCSSet=citrus.combinedFCSSet,
              citrus.foldClustering=citrus.foldClustering,
              citrus.foldFeatureSet=citrus.foldFeatureSet)
medians<-classclustermeds(citrus.foldFeatureSet,citrus.foldClustering,
                          citrus.combinedFCSSet,groupsizes=c(10,10),meds=meds)