Combine independent coefficient-of-variation components.

Aggregate several independent sources of relative uncertainty into a single coefficient of variation by adding them in quadrature. This is how per-indicator data-quality scores (for example the reliability, completeness and representativeness columns of a pedigree matrix) are turned into one CoV for propagate_fp_uncertainty(). Supply the per-indicator CoV values yourself from a sourced, citable pedigree table; no uncertainty factors are hard-coded here.

Usage

combine_cov(...)

Arguments

...

Numeric vectors of equal length, one per uncertainty source, or a single matrix/data frame with one column per source.

Value

A numeric vector of combined coefficients of variation.

Examples

combine_cov(c(0.3, 0.1), c(0.4, 0.2))
#> [1] 0.5000000 0.2236068