mapBinsKNN {flowBin} | R Documentation |
Internal function to map bins by KNN
object |
flowSample to map the bins of |
tube.1.labels |
integer vector of bin labels for the events in tube 1 |
n.neighbours=1 |
number of neighbours to use for KNN mapping of bins from clustered tube |
snow.cluster=NULL |
Optional snow cluster to use for parallel execution. |
dequant=T |
If TRUE, adds a small (region of 1e-8) value to flow data to help break ties when binning. |
Takes a FlowSample and labels for the events in tube 1, and maps these to all other tubes.
a BinnedFlowSample
data(amlsample) tube1.expr <- exprs(tube.set(aml.sample)[[1]]) kmeans.res <- kmeans(tube1.expr, 100) kmeans.labels <- kmeans.res$cluster #Now create a binnedFlowExprSet using the cluster labels for tube 1 clustered.sample <- mapBinsKNN(aml.sample, kmeans.labels) sort(table(bin.labels(clustered.sample)[[3]]))