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analysis(matlab): rate + count outputs, variation batch 1

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:51 -04:00
parent 1009f263e8
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analysis/matlab/variations/boxa_a2_d0_5/result.txt
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==============================================================================
VARIATION: boxa_a2_d0_5
VARIATION: boxa_a2_d0_5 [metric: success COUNT]
==============================================================================
model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT)
day = training day within window (0 = first analyzed day)
@@ -60,9 +60,9 @@ effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
stim x day (interaction) t(38)= 2.13 F(1)= 4.551 p=0.03941 p=0.03878 (df=42)
day (learning) t(38)= 7.35 F(1)= 53.982 p=8.377e-09 p=4.651e-09 (df=42)
stim (main, window start) t(38)= -0.08 F(1)= 0.007 p=0.9342 p=0.9342 (df=42)
interaction 95% CI: [+0.24, +9.11]
interaction 95% CI: [+0.2389, +9.113]
HONEST LME (per-animal random slope, day|rat): interaction F(1,7.0)=2.87, p=0.1341
(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 SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.03941, slope diff=+4.68)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
INTERPRETATION: stim x day interaction SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.03941, slope diff=+4.676)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.