summary,flowClust-method {flowClust}R Documentation

Summary Method for flowClust Object

Description

This method prints out various characteristics of the model fitted via robust model-based clustering.

Usage

## S4 method for signature 'flowClust':
summary(object)

## S4 method for signature 'tmixFilterResult':
summary(object)

Arguments

object Object returned from flowClust or from filter.

Details

Various characteristics of the fitted model will be given under the following five categories: Experiment Information, Clustering Summary, Transformation Parameter, Information Criteria, and Data Quality. Under Data Quality, information about data filtering, outliers, and uncertainty is given.

Author(s)

Raphael Gottardo <raph@stat.ubc.ca>, Kenneth Lo <c.lo@stat.ubc.ca>

See Also

flowClust, filter, show


[Package flowClust version 1.3.2 Index]