summarize.isometry.deviation: Summarize Deviation from Isometry

In dgraphs: Data-Derived Graph Construction Utilities

Summarize Deviation from Isometry

Description

Computes the standard benchmark summary used to compare graph geodesic distances with reference geodesic distances: optimal scalar calibration, relative RMS error, relative absolute error quantiles, multiplicative distortion quantiles, and distance correlations.

Usage

summarize.isometry.deviation(
  D.estimated,
  D.true,
  scale = TRUE,
  true.tol = sqrt(.Machine$double.eps)
)

Arguments

D.estimated	Estimated distance matrix or dist object.
D.true	Ground-truth distance matrix or dist object.
scale	Logical scalar. If TRUE, use isometry.scale() to optimally rescale estimated distances before computing the error.
true.tol	Non-negative tolerance. Pairs with true distance less than or equal to this value are excluded from relative metrics.

Value

A one-row data frame.

Examples

D <- as.matrix(dist(1:4))
summarize.isometry.deviation(1.1 * D, D)

dgraphs documentation built on Aug. 21, 2026, 1:08 a.m.