Learn R Programming

flowMerge (version 2.20.0)

NENT: Extract the Normalized Entropy

Description

Extracts the normalized entropy from a list of flowMerge objects.

Usage

NENT(x)

Arguments

x
A list of flowMerge objects

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.

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.

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

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

Run the code above in your browser using DataLab