aver.rule: Average Rule chart

In gianmarcoalberti/CAinterprTools: Package for graphical aid in Correspondence Analysis interpretation and significance testing

Description

This function allows you to locate the number of dimensions which are important for CA interpretation, according to the so-called average rule. The reference line showing up in the returned histogram indicates the threshold of an optimal dimensionality of the solution according to the average rule.

Usage

aver.rule(data)

Arguments

data:

Name of the dataset (must be in dataframe format).

Examples

data(greenacre_data)
aver.rule(greenacre_data)

gianmarcoalberti/CAinterprTools documentation built on May 31, 2018, 6:59 a.m.