COMPUTE THE SPRAGUE AND GEER ERRORS BETWEEN A REFERENCE CURVE AND A SET OF CURVES

Computes the Sprague and Geer error metrics between a single reference curve and a set of target curves, returning a matrix of error values. Use this worker to quantitatively assess how closely a batch of simulation or test curves match a reference signal.

When to use

Classification: process.

Tagged: batch-comparison, correlation, curve-comparison, curve-error, error-matrix, sprague-geer.

Inputs

Label ID Type Default Required Description
Reference Curve ref_curve vector   The single reference (baseline) curve against which all target curves are compared; typically a physical test result or validated simulation curve supplied as an x/y vector.
Target Curves target_curves vector   The set of target curves (e.g., multiple simulation runs) to be compared against the reference; supplied as a collection of x/y vectors, one Sprague-and-Geer error row is produced per curve.

Outputs

Label ID Type Description
curves_spragueandgeererror_matrix_output_1 curves_spragueandgeererror_matrix_output_1 dataset A dataset (matrix) containing the Sprague and Geer error scores for each target curve relative to the reference, with one row per target curve and columns for each individual error component.

Disciplines

  • data.correlation
  • data.curve.pair

Runnable example

A runnable example is registered for this worker. Open the example workflow on the d3VIEW canvas: /api/workflow/example?id=curves_spragueandgeererror_matrix


Auto-generated from transformation schema. Worker id: curves_spragueandgeererror_matrix. Schema hash: 81eb4d555802. Hand-curated docs in workerexamples/ override this page when present.