Compute Distance Preservation Correlations

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)
#>  pearson_cor spearman_cor 
#>            1            1