Clustering-class: The 'Clustering'-class

In kueckelj/confuns: Convenience Functions

The Clustering-class

Description

S4-class for convenient cluster analysis.

Slots

data

data.frame. The data on which the analysis bases on.

key_name

character. The name of the variable that is used to identify each observation uniquely.

meta

data.frame. Data that was part of the input data but is not supposed to be included in analysis steps.

methods

list. A list of objects of S4-class ClusteringMethod.

variables_grouping

character. The names of all grouping variables of the input data - variables of class character or factor. (Does not include variable of slot @key_name)

variables_logical

character. The names of all logical variables of the input data.

variables_numeric

character. The names of all numeric variables based on which outlier detection is conducted.

kueckelj/confuns documentation built on July 4, 2024, 4:53 p.m.