test_sop

Notedocblock

test_sop(data, d1, d2; chart_choice, refinement=OrdinaryType(), alpha=0.05, add_noise=false)

Perform the asymptotic hypothesis test for spatial dependence based on spatial ordinal patterns (SOPs) and return a SOPTestResult with the test statistic, the asymptotic critical value, the p-value, and the reject decision.

• data: data matrix (spatial field).
• d1::Int: row delay.
• d2::Int: column delay.
• chart_choice: one of TauHat(), KappaHat(), TauTilde(), KappaTilde() (two-sided test), or Shannon(), ShannonExtropy(), DistanceToWhiteNoise() (one-sided, upper-tail test with rescaled statistic). For Shannon and ShannonExtropy, the logarithm base must be larger than 1. The statistic does not depend on it.
• refinement: OrdinaryType() for the classical SOP classification, or one of RotationType(), DirectionType(), DiagonalType() (only for the entropy-type charts).
• alpha=0.05: significance level.
• add_noise::Bool=false: add uniform noise to the data to break ties (recommended for discrete-valued data).