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_d6_13 [metric: # successes (count)]
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==============================================================================
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model: behavior ~ stim + log(day) + stim:log(day) + (1|rat) (behavior = # successes (count))
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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=2 nrep=120, alpha=0.05
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--- fitted on real data ---
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stim x log(day) interaction: F(1,30)=3.007 p(resid)=0.09315 p(Satt)=0.0931 (df=30)
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honest per-animal random slope (log-day): F(1,12.8)=2.47 p=0.1406
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Cohen's f (interaction, partial eta^2=0.025) = 0.161 (small-medium; f: .10 small, .25 medium, .40 large)
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--- power simulation (log-day ground truth: stim:logday=+22.97, ratSD=7.136, resSD=7.808) ---
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true stim:log(day) = +22.97 (100% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.47 | 0.64 <- observed
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5 | 0.79 | 0.90
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8 | 0.96 | 0.99
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12 | 0.99 | 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) = +11.49 (50% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.12 | 0.22 <- observed
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5 | 0.26 | 0.36
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8 | 0.41 | 0.47
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12 | 0.53 | 0.58
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16 | 0.71 | 0.74
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24 | 0.90 | 0.93
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Read per-animal as the honest power; LME matches the paper's power code (optimistic).
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