name: op-test-wilcoxon-sr
description: Wilcoxon signed-rank test on per-row difference d = Field − Field2; buffered tie-corrected sign-rank.
kind: operator
category: TEST
operator: TEST_WILCOXON_SR
type: reference
applies_to: process, compose, predict
examples_tags: [hypothesis-test, tier-1-test, nonparametric, paired, before-after, buffered-pipeline]
Tests emit statistic / p-value / effect size; no Response.Components.
Use when
Rank-based check of whether paired before/after values tend to shift in one direction, without assuming a bell curve.
Questions it answers:
- Did each customer’s rating tend to go up after the redesign?
- Do patients’ skewed symptom scores tend to fall between visits?
Use something else:
TEST_MANN_WHITNEY_Uwhen the two sets of values come from different, unrelated subjects.
Params
alpha— float, default0.05, in(0, 1).weight— slot weight (nullopts out), kindfrequencyonly (a probability weight isPULSE_WEIGHT_UNSUPPORTEDnaming the kind): a pair of weight w ranks as w identical pairs — equals the test on the expanded pairs.Detailsaddsum_weightsbesiden;nandzero_diffsstay raw row counts.
Slot params: Field (required, numeric), Field2 (required, numeric — the pre value).
multiplicity— optional{method, family}; addsp_adjustedbeside the raw p (multiplicity-correction).
Inputs
Field — numeric: u4/u8/u16/u32/u64, f32/f64, date. Field2 — numeric (same set; paired per-row with Field).
Output
Statistic = min(W⁺, W⁻); PValue two-sided normal approx, tie-corrected. Details: n (non-zero pairs), w_plus, w_minus, mu_w, var_w, z, zero_diffs; effect_size.rank_biserial = (W⁺ − W⁻)/(W⁺ + W⁻) — > 0 ⇒ Field tends to exceed Field2 (sign of z).
Reading the output
statistic: The smaller of the two signed-rank sums: rank the non-zero differences (Field - Field2) by size, add the ranks of the positive ones and of the negative ones, and keep the smaller. The smaller it is, the more one direction dominates.p_value: a p-value. Below alpha (0.05 unless the request sets another) the result is called significant; that is not the same as important, so read the effect size for how big it is.details.z: The normal score the p-value is read from, with a continuity correction of one half.
Gotchas
- Buffered — |d| ranked across the whole set.
- Zero-diff pairs are dropped (Wilcoxon convention); reported in
Details.zero_diffs. - Nonparametric alternative to a paired t-test when d is non-normal.
- Asymptotic only; < 6 non-zero pairs is
PULSE_TEST_INSUFFICIENT_N. - Tier-2 variant
asymptotic_postruns over two result-row columns. - Pairing is per row: both values sit on one record.
See
pulse_examples_search tags=[paired]- Skills:
statistical-testing,op-test-paired-t,op-test-mann-whitney-u