summary: Summary Method for flowClust Object

In flowClust: Clustering for Flow Cytometry

Description

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

Usage

summary(object, ...)

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

## S4 method for signature 'flowClustList'
summary(object)

Arguments

object	Object returned from flowClust or from filter.
...	not used

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 <[e-mail]>, Kenneth Lo <[e-mail]>

See Also

flowClust, filter, show

flowClust documentation built on Nov. 8, 2020, 7:34 p.m.