isometry.distance.correlations: Compute Distance Preservation Correlations

In dgraphs: Data-Derived Graph Construction Utilities

Compute Distance Preservation Correlations

Description

Computes Pearson and Spearman correlations between estimated and true pairwise distances over the upper-triangular distance entries.

Usage

isometry.distance.correlations(
  D.estimated,
  D.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.
true.tol	Non-negative tolerance. Pairs with true distance less than or equal to this value are excluded from relative metrics.

Value

Named numeric vector with entries pearson_cor and spearman_cor.

Examples

D <- as.matrix(dist(1:4))
isometry.distance.correlations(2 * D, D)

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