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analysis(matlab): rate + count outputs, variation batch 4

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:53 -04:00
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analysis/matlab/variations/right_only_d6_13/result.txt
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==============================================================================
VARIATION: right_only_d6_13
VARIATION: right_only_d6_13 [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)= 2.32 F(1)= 5.379 p=0.02585 p=0.02591 (df=38)
day (learning) t(38)= 1.70 F(1)= 2.885 p=0.09761 p=0.09766 (df=38)
stim (main, window start) t(38)= 1.64 F(1)= 2.685 p=0.1096 p=0.1304 (df=11)
interaction 95% CI: [+0.35, +5.17]
interaction 95% CI: [+0.3507, +5.165]
HONEST LME (per-animal random slope, day|rat): interaction F(1,21.2)=4.96, p=0.03697
(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=0.02585, slope diff=+2.76)
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=0.02585, slope diff=+2.758)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.