Gets matrix of medians for desired measured features for all clusters meeting threshold requirements specified in Citrus
clustermeds(citrus.foldFeatureSet, citrus.foldClustering, medsofinterest, citrus.combinedFCSSet)
citrus.foldFeatureSet
: computed from first two variables using citrus.calculateFoldFeatureSet function from citrus packagecitrus.foldClustering
: loaded from citrusClustering.RData file generated by Citrus runmedsofinterest
: The names of the columns from citrus.combinedFCSSet$data of interest to extract medians forcitrus.combinedFCSSet
: loaded from citrusClustering.RData file generated by Citrus runReturns a matrix with columns corresponding to selected features and rows corresponding to samples
library(mineCitrus) data("citrus.combinedFCSSet") data("citrus.foldClustering") data("citrus.foldFeatureSet") medians<-clustermeds(citrus.foldFeatureSet=citrus.foldFeatureSet, citrus.foldClustering=citrus.foldClustering, medsofinterest=c("Red","Blue"), citrus.combinedFCSSet=citrus.combinedFCSSet)
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