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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/variations/naive_a2_d6_13/result.txt
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@@ -55,11 +55,14 @@ Group: Error
{'Res Std'} 12.033 10.004 14.473
effect t (df) F (df1) p
------------------------------------------------------------------
stim x day (interaction) t(61)= 0.78 F(1)= 0.605 p=0.4398
day (learning) t(61)= 3.39 F(1)= 11.485 p=0.001235
stim (main, window start) t(61)= 2.46 F(1)= 6.072 p=0.01657
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction) t(61)= 0.78 F(1)= 0.605 p=0.4398 p=0.4399 (df=58)
day (learning) t(61)= 3.39 F(1)= 11.485 p=0.001235 p=0.001274 (df=57)
stim (main, window start) t(61)= 2.46 F(1)= 6.072 p=0.01657 p=0.02473 (df=17)
interaction 95% CI: [-1.82, +4.13]
HONEST LME (per-animal random slope, day|rat): interaction F(1,7.7)=0.36, p=0.5635
(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
model above is the honest learning-rate test -- DF collapses toward the animal count.)
INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.4398, slope diff=+1.16)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.