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analysis(matlab): rate + count outputs, variation batch 2

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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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Experiments DB Dev
2026-07-24 02:32:52 -04:00
parent 0a438a4649
commit 6ba21a1a35
72 changed files with 1874 additions and 896 deletions
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analysis/matlab/variations/naive_a2_d0_5/logpower_result.txt
+5 -6
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@@ -1,7 +1,7 @@
==============================================================================
LOG-DAY MODEL + COHEN'S f + POWER -- naive_a2_d0_5
LOG-DAY MODEL + COHEN'S f + POWER -- naive_a2_d0_5 [metric: # successes (count)]
==============================================================================
model: behavior ~ stim + log(day) + stim:log(day) + (1|rat) (success COUNT)
model: behavior ~ stim + log(day) + stim:log(day) + (1|rat) (behavior = # successes (count))
log(day) uses 1-indexed training day (our day 0 = paper "Day 1")
observed groups: stim n=3, control n=7 nrep=120, alpha=0.05
@@ -10,7 +10,7 @@ stim x log(day) interaction: F(1,55)=9.364 p(resid)=0.003417 p(Satt)=0.003585
honest per-animal random slope (log-day): F(1,13.5)=7.67 p=0.01548
Cohen's f (interaction, partial eta^2=0.057) = 0.245 (small-medium; f: .10 small, .25 medium, .40 large)
--- power simulation (log-day ground truth: stim:logday=+19.33, ratSD=9.47, resSD=13.37) ---
--- power simulation (log-day ground truth: stim:logday=+19.33, ratSD=9.472, resSD=13.37) ---
true stim:log(day) = +19.33 (100% of observed)
N/group | per-animal power | LME power
@@ -22,7 +22,7 @@ Cohen's f (interaction, partial eta^2=0.057) = 0.245 (small-medium; f: .10 smal
16 | 1.00 | 1.00
24 | 1.00 | 1.00
true stim:log(day) = +9.67 (50% of observed)
true stim:log(day) = +9.665 (50% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.12 | 0.28 <- observed
@@ -32,5 +32,4 @@ Cohen's f (interaction, partial eta^2=0.057) = 0.245 (small-medium; f: .10 smal
16 | 0.83 | 0.84
24 | 0.95 | 0.96
Read the per-animal column as the honest power; the LME column matches the
paper's power code (anova interaction p, observation-level DF) and is optimistic.
Read per-animal as the honest power; LME matches the paper's power code (optimistic).