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analysis(matlab): rate + count outputs, variation batch 1

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:51 -04:00
parent 1009f263e8
commit 0a438a4649
72 changed files with 1873 additions and 895 deletions
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analysis/matlab/variations/boxa_b2_d6_10/power_result.txt
+5 -6
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@@ -1,11 +1,11 @@
==============================================================================
POWER SIMULATION -- boxa_b2_d6_10
POWER SIMULATION -- boxa_b2_d6_10 [metric: # successes (count)]
==============================================================================
model: behavior ~ stim + day + stim:day + (1|rat) (success COUNT; day within-window)
model: behavior ~ stim + day + stim:day + (1|rat) (behavior = # successes (count); day within-window)
observed groups: stim n=4, control n=2 nrep=120, alpha=0.05
ground truth: stim:day=+1.90/day, rat SD=6.23, residual SD=8.12, days=5
ground truth: stim:day=+1.9/day, rat SD=6.231, residual SD=8.123, days=5
true stim:day interaction = +1.90 (100% of observed)
true stim:day interaction = +1.9 (100% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.04 | 0.17
@@ -25,5 +25,4 @@ ground truth: stim:day=+1.90/day, rat SD=6.23, residual SD=8.12, days=5
16 | 0.18 | 0.19
24 | 0.25 | 0.28
Read the per-animal column as the honest power. At the observed N this study
is typically underpowered; per-animal power reaches ~0.8 only at larger N.
Read the per-animal column as the honest power; LME is optimistic (obs-level DF).