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flowMerge (version 2.20.0)

flowMerge-class: Class "flowMerge"

Description

A class to represent flowMerge objects

Arguments

Objects from the Class

The object unites the flowMerge model output and the data being modeled and contains additional slots for various characteristics of a merged cluster solution, including the entropy of clustering.

Slots

merged:
The number of observations merged at the current step in the algorithm.
mtree:
A tree--structured graph representing the order of merged components in the model. Inspired by SPADE. (Bendall et al.)
entropy:
The entropy of clustering of the current solution.
DATA:
An environment whose first element contains the flowFrame with the data modeled by this flowMerge object
expName:
See the flowClust package for details
varNames:
See the flowClust package for details
K:
The number of clusters in the merged solution. See the flowClust package for details
w:
The proportions for each component in the merged solution. See the flowClust package for details
mu:
The means of the components in the merged solution. See the flowClust package for details
sigma:
The covraiances of the components in the merged solution. See the flowClust package for details
lambda:
See the flowClust package for details
nu:
See the flowClust package for details
z:
See the flowClust package for details
u:
The uncertainties for each data point.
label:
See the flowClust package for details
uncertainty:
See the flowClust package for details
ruleOutliers:
See the flowClust package for details
flagOutliers:
See the flowClust package for details
rm.min:
See the flowClust package for details
rm.max:
See the flowClust package for details
logLike:
See the flowClust package for details
BIC:
See the flowClust package for details
ICL:
See the flowClust package for details

Extends

Class "flowObj", directly. Class "flowClust", by class "flowObj", distance 2.

Methods

getData
signature(obj = "flowMerge"): Retrieves the flowFrame in the DATA environment slot.
plot
signature(x = "flowMerge", y = "missing"): Plots the clusters in this object.
summary
signature(x="flowMerge"): Prints a summary of the object.
show
signature(x="flowMerge"): Prints information about the object.

References

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

See Also

flowObj-class