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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
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analysis/matlab/variations/boxa_a2_d6_10/result.txt
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==============================================================================
VARIATION: boxa_a2_d6_10
VARIATION: boxa_a2_d6_10 [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(26)= 0.47 F(1)= 0.223 p=0.6409 p=0.6413 (df=24)
day (learning) t(26)= 2.11 F(1)= 4.466 p=0.04433 p=0.04517 (df=24)
stim (main, window start) t(26)= 1.73 F(1)= 2.983 p=0.09599 p=0.1083 (df=13)
interaction 95% CI: [-3.36, +5.36]
interaction 95% CI: [-3.356, +5.356]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.18, p=0.6872
(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=0.6409, slope diff=+1.00)
Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.
INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.6409, slope diff=+1)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.