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 -- boxa_a2_d0_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=4 nrep=120, alpha=0.05
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--- fitted on real data ---
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stim x log(day) interaction: F(1,68)=3.821 p(resid)=0.05474 p(Satt)=0.05451 (df=72)
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honest per-animal random slope (log-day): F(1,14.6)=3.22 p=0.09348
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Cohen's f (interaction, partial eta^2=0.009) = 0.097 (small; f: .10 small, .25 medium, .40 large)
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--- power simulation (log-day ground truth: stim:logday=+8.69, ratSD=2.979e-15, resSD=13.42) ---
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true stim:log(day) = +8.69 (100% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.23 | 0.47 <- observed
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5 | 0.57 | 0.72
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8 | 0.83 | 0.87
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12 | 0.98 | 0.99
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16 | 0.99 | 1.00
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24 | 1.00 | 1.00
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true stim:log(day) = +4.345 (50% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.07 | 0.12 <- observed
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5 | 0.11 | 0.19
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8 | 0.30 | 0.38
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12 | 0.34 | 0.40
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16 | 0.62 | 0.64
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24 | 0.75 | 0.78
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Read per-animal as the honest power; LME matches the paper's power code (optimistic).
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