analysis(matlab): rate + count outputs, variation batch 5
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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POWER SIMULATION -- unmerge_d0_5 [metric: success RATE]
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success RATE; day within-window)
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observed groups: stim n=3, control n=3 nrep=120, alpha=0.05
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ground truth: stim:day=+0.04902/day, rat SD=0.04642, residual SD=0.07858, days=6
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true stim:day interaction = +0.04902 (100% of observed)
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N/group | per-animal power | LME power
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------------------------------------------
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3 | 0.52 | 0.89 <- observed
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5 | 0.92 | 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:day interaction = +0.02451 (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 | 0.34 <- observed
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5 | 0.40 | 0.48
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8 | 0.62 | 0.72
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12 | 0.82 | 0.87
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16 | 0.94 | 0.95
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24 | 0.99 | 0.99
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Read the per-animal column as the honest power; LME is optimistic (obs-level DF).
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