NENT: Extract the Normalized Entropy

In RGLab/flowMerge: Cluster Merging for Flow Cytometry Data

Description

Extracts the normalized entropy from a list of flowMerge objects.

Usage

NENT(x)

Arguments

x	A list of flowMerge objects

Details

The normalized entropy is extracted from a flowMerge object by computing \frac{E}{K*n} where E is the entropy, and K and n are the number of clusters and data points, respectively.

Value

Returns a vector of normalized entropy values for the flowMerge objects.

Warning

This function doesn't do enough error checking and will try to extract the entropy from a list of anything.

Author(s)

Greg Finak <[e-mail]>

References

Finak G, Bashasharti A, Brinkmann R, Gottardo R. Merging Mixture Model Components for Improved Cell Population Identification in High Throughput Flow Cytometry Data; Advances in Bioinformatics (To Appear)

See Also

ENT,merge,flowMerge-class

Examples

#data(RituximabFlowClustFit)
#data(rituximab)
#o<-flowObj(flowClust.res[[which.max(flowMerge:::BIC(flowClust.res))]],rituximab);
#m<-merge(o);
#flowMerge:::ENT(m);
#flowMerge:::NENT(m);

RGLab/flowMerge documentation built on Aug. 10, 2020, 12:52 p.m.