Experiments DB Dev
36 lines
1.7 KiB
Plaintext
36 lines
1.7 KiB
Plaintext
==============================================================================
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LOG-DAY MODEL + COHEN'S f + POWER -- naive_boxa_d0_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=8 nrep=120, alpha=0.05
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--- fitted on real data ---
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stim x log(day) interaction: F(1,134)=4.865 p(resid)=0.02911 p(Satt)=0.02918 (df=129)
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honest per-animal random slope (log-day): F(1,7.9)=3.22 p=0.1109
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Cohen's f (interaction, partial eta^2=0.007) = 0.083 (small; f: .10 small, .25 medium, .40 large)
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--- power simulation (log-day ground truth: stim:logday=+8.265, ratSD=8.74, resSD=14.51) ---
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true stim:log(day) = +8.265 (100% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.21 | 0.55 <- observed
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5 | 0.51 | 0.65
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8 | 0.88 | 0.90 <- observed
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12 | 0.97 | 1.00
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16 | 0.98 | 0.98
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24 | 1.00 | 1.00
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true stim:log(day) = +4.133 (50% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.08 | 0.17 <- observed
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5 | 0.19 | 0.27
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8 | 0.42 | 0.42 <- observed
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12 | 0.47 | 0.51
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16 | 0.64 | 0.68
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24 | 0.76 | 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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