flowClust (version 3.10.0)

summary,flowClust-method: Summary Method for flowClust Object

Description

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

Usage

## S3 method for class 'flowClust':
summary(object)
## S3 method for class '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.

See Also

flowClust, filter, show