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 -- naive_boxa_d6_10 [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=7 nrep=120, alpha=0.05
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--- fitted on real data ---
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stim x log(day) interaction: F(1,46)=0.613 p(resid)=0.4376 p(Satt)=0.4382 (df=40)
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honest per-animal random slope (log-day): F(1,10.0)=0.43 p=0.5247
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Cohen's f (interaction, partial eta^2=0.005) = 0.069 (small; f: .10 small, .25 medium, .40 large)
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--- power simulation (log-day ground truth: stim:logday=-15.28, ratSD=11.24, resSD=10.1) ---
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true stim:log(day) = -15.28 (100% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.06 | 0.08 <- observed
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5 | 0.07 | 0.07
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8 | 0.18 | 0.21
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12 | 0.28 | 0.30
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16 | 0.30 | 0.35
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24 | 0.45 | 0.49
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true stim:log(day) = -7.64 (50% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.03 | 0.09 <- observed
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5 | 0.07 | 0.07
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8 | 0.07 | 0.11
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12 | 0.07 | 0.08
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16 | 0.10 | 0.11
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24 | 0.13 | 0.14
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Read per-animal as the honest power; LME matches the paper's power code (optimistic).
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