View source: R/citrus.cluster.R
citrus.mapToClusterSpace | R Documentation |
Map new data to clusters defined by a clustering.
citrus.mapToClusterSpace(citrus.combinedFCSSet.new, citrus.combinedFCSSet.old,
citrus.clustering, mappingColumns = NULL, ...)
citrus.combinedFCSSet.new |
A |
citrus.combinedFCSSet.old |
A |
citrus.clustering |
A clustering of data in |
mappingColumns |
Parameters to be used for mapping new data to existing cluster space. If |
... |
Additional arguments (ignored). |
A citrus.mapping
object
clusterMembership |
List of event indices, reporting which events in |
mappingColumns |
Columns used to match new data events with existing clustered data. |
Robert Bruggner
# Where the data lives
dataDirectory = file.path(system.file(package = "citrus"),"extdata","example1")
# List of files to be clustered
fileList1 = data.frame("unstim"=list.files(dataDirectory,pattern=".fcs")[seq(from=2,to=20,by=2)])
# List of files to be mapped
fileList2 = data.frame("unstim"=list.files(dataDirectory,pattern=".fcs")[seq(from=1,to=19,by=2)])
# Read the data
citrus.combinedFCSSet1 = citrus.readFCSSet(dataDirectory,fileList1)
citrus.combinedFCSSet2 = citrus.readFCSSet(dataDirectory,fileList2)
# List of columns to be used for clustering
clusteringColumns = c("Red","Blue")
# Cluster first dataset
citrus.clustering = citrus.cluster(citrus.combinedFCSSet1,clusteringColumns)
# Map new data to exsting clustering
citrus.mapping = citrus.mapToClusterSpace(citrus.combinedFCSSet.new=citrus.combinedFCSSet1,citrus.combinedFCSSet.old=citrus.combinedFCSSet2,citrus.clustering)
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