Coefficient of Variation Weighting

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

weight_cv(X)

Arguments

X

Numeric matrix or data frame with positive indicator data.

Value

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

Details

The weight_cv 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.

Examples

X = data.frame(x1 = c(10, 20, 15), x2 = c(5, 10, 8))
weight_cv(X)
#>       x1       x2 
#> 0.503839 0.496161