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
"summary"(object)
"summary"(object)
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.