cv_weight: Coefficient of Variation Weighting

In zhjx19/mathmodels: Comprehensive Mathematical Modeling Algorithms in R

Coefficient of Variation Weighting

Description

Computes weights for indicators using the Coefficient of Variation (CV) method. Weights are derived by normalizing the CV (standard deviation divided by mean) for each indicator.

Usage

cv_weight(X)

Arguments

data	Numeric matrix or data frame with positive indicator data.

Details

The cv_weight function calculates weights using the CV method. For each column in data, the CV is computed as the standard deviation divided by the mean. Weights are obtained by normalizing the CVs to sum to 1. This lightweight implementation uses base R and assumes all columns are numeric indicators.

Value

Numeric vector of weights for the indicators, summing to 1.

Examples

X = data.frame(x1 = c(10, 20, 15), x2 = c(5, 10, 8))
cv_weight(X)

zhjx19/mathmodels documentation built on June 2, 2025, 12:18 a.m.