HDutility: Hellinger Distance (Utility)

In SmallCountRounding: Small Count Rounding of Tabular Data

Hellinger Distance (Utility)

Description

Hellinger distance (HD) and a related utility measure (HDutility) described in the reference below. The utility measure is made to be bounded between 0 and 1.

Usage

HD(f, g)

HDutility(f, g)

Arguments

f	Vector of original counts
g	Vector of perturbed counts

Details

HD is defined as "sqrt(sum((sqrt(f) - sqrt(g))^2)/2)" and HDutility is defined as "1 - HD(f, g)/sqrt(sum(f))".

Value

Hellinger distance or related utility measure

References

Shlomo, N., Antal, L., & Elliot, M. (2015). Measuring Disclosure Risk and Data Utility for Flexible Table Generators, Journal of Official Statistics, 31(2), 305-324. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1515/jos-2015-0019")}

Examples

f <- 1:6
g <- c(0, 3, 3, 3, 6, 6)
print(c(
  HD = HD(f, g), 
  HDutility = HDutility(f, g), 
  maxdiff = max(abs(g - f)), 
  meanAbsDiff = mean(abs(g - f)), 
  rootMeanSquare = sqrt(mean((g - f)^2))
))

SmallCountRounding documentation built on Oct. 22, 2024, 5:06 p.m.