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feat(matlab): add Satterthwaite DF + honest random-slope test to LME reports

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Every fitlme-based report (lme_*, paper_*, phase_*, and the variations'
analyze.m) now shows, per effect: residual-DF p, Satterthwaite-DF p, and --
for the interaction -- an HONEST test from a per-animal random-SLOPE model
(day|rat), whose Satterthwaite DF collapses toward the animal count.

New: tdcs_random_slope_interaction.m (shared helper). Wired into tdcs_lme,
tdcs_paper_lme, tdcs_phase_lme, variation_analyze; SUMMARY.csv gains
interaction_p_satt / interaction_p_rs. Regenerated all results/, variations/,
matched-effort outputs.

Key point this surfaces: Satterthwaite ~= residual on the random-INTERCEPT
model (the slope's error is at session level), so it does NOT fix
pseudoreplication; the random-slope model does. Effect: full-range mergeA2
interaction 0.009 -> 0.75 (collapses); unmerge_d0_5 0.015 -> 0.13 (n.s.);
the pooled-control early windows survive honestly (naive_a2_d0_5 0.001 ->
0.028; naive_boxa_d0_5 0.003 -> 0.036). Suite 42/42.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Experiments DB Dev
2026-07-22 15:45:19 -04:00
parent 5fcd97f81a
commit 8a18c894dd
77 changed files with 2066 additions and 345 deletions
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analysis/matlab/results/phase_mergeNaive.txt
+10 -8
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@@ -3,15 +3,17 @@ PHASED days x tDCS LME -- mergeNaive (Box-B2 vs Box-A2)
==============================================================================
model per phase: success ~ dayp*tDCS + (1|subject) [dayp = day - phaseStart]
phase N A2slope B2slope day p tDCS(lvl) p interaction p slopeDiff [95% CI]
--------------------------------------------------------------------------------------------
0-5 11 8.26 15.16 1.6e-10 0.852 0.000 +6.90 [+3.40, +10.41]
6-10 10 5.97 4.83 3.9e-05 0.007 0.584 -1.14 [-5.31, +3.03]
6-13 10 2.83 4.47 0.00071 0.012 0.196 +1.65 [-0.87, +4.17]
phase N A2slp B2slp day p tDCS p intP(res) intP(Satt) intP(RS) slopeDiff [95% CI]
--------------------------------------------------------------------------------------------------------
0-5 11 8.26 15.16 1.6e-10 0.852 0.000 0.000 0.013 +6.90 [+3.40,+10.41]
6-10 10 5.97 4.83 3.9e-05 0.007 0.584 0.585 0.643 -1.14 [-5.31,+3.03]
6-13 10 2.83 4.47 0.00071 0.012 0.196 0.196 0.333 +1.65 [-0.87,+4.17]
Note: the interaction p (and CI) use fitlme observation-level DF and are
ANTICONSERVATIVE at these small subject counts (see tdcs_power_sim). The early
phase carries the Box-B2 faster-acquisition signal; late phases converge.
Columns: intP(res)=observation-level DF (anticonservative); intP(Satt)=Satterthwaite
DF (~= residual on this random-intercept model); intP(RS)=per-animal random-slope
(dayp|subject) model, the honest test (DF collapses toward the animal count; 'n/a' if it
did not converge). The early phase carries the Box-B2 faster-acquisition signal; late
phases converge.
==============================================================================
FULL MODEL SUMMARY -- phase 0-5: success ~ dayp*tDCS + (1|subject)
==============================================================================