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