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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
parent 1606eb698b
commit fd40b6fb54
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analysis/matlab/variations/unmerge_d0_5/logpower_result_rate.txt
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==============================================================================
LOG-DAY MODEL + COHEN'S f + POWER -- unmerge_d0_5 [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=3 nrep=120, alpha=0.05
--- fitted on real data ---
stim x log(day) interaction: F(1,32)=10.951 p(resid)=0.002322 p(Satt)=0.00244 (df=30)
honest per-animal random slope (log-day): F(1,8.5)=8.07 p=0.02043
Cohen's f (interaction, partial eta^2=0.109) = 0.350 (medium; f: .10 small, .25 medium, .40 large)
--- power simulation (log-day ground truth: stim:logday=+0.1553, ratSD=0.04445, resSD=0.08516) ---
true stim:log(day) = +0.1553 (100% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.54 | 0.90 <- observed
5 | 0.93 | 0.97
8 | 1.00 | 1.00
12 | 1.00 | 1.00
16 | 1.00 | 1.00
24 | 1.00 | 1.00
true stim:log(day) = +0.07765 (50% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.13 | 0.38 <- observed
5 | 0.44 | 0.54
8 | 0.72 | 0.73
12 | 0.81 | 0.88
16 | 0.94 | 0.97
24 | 1.00 | 1.00
Read per-animal as the honest power; LME matches the paper's power code (optimistic).