Experiments DB Dev
36 lines
1.6 KiB
Plaintext
36 lines
1.6 KiB
Plaintext
==============================================================================
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LOG-DAY MODEL + COHEN'S f + POWER -- unmerge_d0_5 [metric: success RATE]
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==============================================================================
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model: behavior ~ stim + log(day) + stim:log(day) + (1|rat) (behavior = success RATE)
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log(day) uses 1-indexed training day (our day 0 = paper "Day 1")
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observed groups: stim n=3, control n=3 nrep=120, alpha=0.05
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--- fitted on real data ---
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stim x log(day) interaction: F(1,32)=10.951 p(resid)=0.002322 p(Satt)=0.00244 (df=30)
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honest per-animal random slope (log-day): F(1,8.5)=8.07 p=0.02043
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Cohen's f (interaction, partial eta^2=0.109) = 0.350 (medium; f: .10 small, .25 medium, .40 large)
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--- power simulation (log-day ground truth: stim:logday=+0.1553, ratSD=0.04445, resSD=0.08516) ---
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true stim:log(day) = +0.1553 (100% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.54 | 0.90 <- observed
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5 | 0.93 | 0.97
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8 | 1.00 | 1.00
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12 | 1.00 | 1.00
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16 | 1.00 | 1.00
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24 | 1.00 | 1.00
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true stim:log(day) = +0.07765 (50% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.13 | 0.38 <- observed
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5 | 0.44 | 0.54
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8 | 0.72 | 0.73
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12 | 0.81 | 0.88
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16 | 0.94 | 0.97
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24 | 1.00 | 1.00
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Read per-animal as the honest power; LME matches the paper's power code (optimistic).
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