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analysis(matlab): rate + count outputs, variation batch 5

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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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commit fd40b6fb54
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analysis/matlab/variations/unmerge_d6_10/logpower_result_rate.txt
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==============================================================================
LOG-DAY MODEL + COHEN'S f + POWER -- unmerge_d6_10 [metric: success RATE]
==============================================================================
model: behavior ~ stim + log(day) + stim:log(day) + (1|rat) (behavior = success RATE)
log(day) uses 1-indexed training day (our day 0 = paper "Day 1")
observed groups: stim n=3, control n=2 nrep=120, alpha=0.05
--- fitted on real data ---
stim x log(day) interaction: F(1,21)=0.027 p(resid)=0.8704 p(Satt)=0.8705 (df=20)
honest per-animal random slope (log-day): F(1,5.0)=0.01 p=0.9117
Cohen's f (interaction, partial eta^2=0.001) = 0.023 (small; f: .10 small, .25 medium, .40 large)
--- power simulation (log-day ground truth: stim:logday=+0.02357, ratSD=0.03992, resSD=0.05586) ---
true stim:log(day) = +0.02357 (100% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.03 | 0.03 <- observed
5 | 0.03 | 0.06
8 | 0.06 | 0.07
12 | 0.08 | 0.09
16 | 0.05 | 0.06
24 | 0.08 | 0.06
true stim:log(day) = +0.01179 (50% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.03 | 0.08 <- observed
5 | 0.07 | 0.07
8 | 0.05 | 0.05
12 | 0.07 | 0.07
16 | 0.07 | 0.07
24 | 0.06 | 0.04
Read per-animal as the honest power; LME matches the paper's power code (optimistic).