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experiments-database/analysis/matlab/variations/boxa_b2_d0_5/logpower_result.txt
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Experiments DB Dev 0a438a4649 analysis(matlab): rate + count outputs, variation batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:51 -04:00

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LOG-DAY MODEL + COHEN'S f + POWER -- boxa_b2_d0_5 [metric: # successes (count)]
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model: behavior ~ stim + log(day) + stim:log(day) + (1|rat) (behavior = # successes (count))
log(day) uses 1-indexed training day (our day 0 = paper "Day 1")
observed groups: stim n=4, control n=3 nrep=120, alpha=0.05
--- fitted on real data ---
stim x log(day) interaction: F(1,38)=3.165 p(resid)=0.08322 p(Satt)=0.08246 (df=42)
honest per-animal random slope (log-day): F(1,9.4)=2.59 p=0.1407
Cohen's f (interaction, partial eta^2=0.026) = 0.163 (small-medium; f: .10 small, .25 medium, .40 large)
--- power simulation (log-day ground truth: stim:logday=+13.68, ratSD=0, resSD=14.91) ---
true stim:log(day) = +13.68 (100% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.18 | 0.42 <- observed
5 | 0.43 | 0.59
8 | 0.68 | 0.75
12 | 0.81 | 0.88
16 | 0.96 | 0.97
24 | 0.98 | 0.99
true stim:log(day) = +6.838 (50% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.07 | 0.14 <- observed
5 | 0.12 | 0.19
8 | 0.17 | 0.19
12 | 0.31 | 0.39
16 | 0.43 | 0.49
24 | 0.70 | 0.75
Read per-animal as the honest power; LME matches the paper's power code (optimistic).