IndexCPP: Calculate the Consistency Proportion Index (CPP)

In DTSR: Distributed Trimmed Scores Regression for Handling Missing Data

Calculate the Consistency Proportion Index (CPP)

Description

This function calculates the Consistency Proportion Index (CPP), a measure of the consistency of clustering results. The CPP is calculated by determining the most common cluster assignment for each group and then computing the proportion of cases that are assigned to these clusters.

Usage

IndexCPP(I)

Arguments

I	A matrix where each row represents a case and each column represents a cluster assignment. The last column should indicate the group membership (1, 2, or 3).

Value

A list containing:

ICPP	The Consistency Proportion Index.

Examples

# Example usage
set.seed(123)
n <- 100
values1 <- sample(1:3, 30, replace = TRUE)
values2 <- sample(1:3, 30, replace = TRUE) + 1
values3 <- sample(1:3, 40, replace = TRUE) + 2
values <- c(values1, values2, values3)
categories <- c(rep(1, 30), rep(2, 30), rep(3, 40))
I <- cbind(1:n, values, categories)
CPP <- IndexCPP(I)
print(CPP)

DTSR documentation built on April 3, 2025, 11:35 p.m.