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analysis(matlab): rate + count outputs, variation batch 3

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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 6ba21a1a35
commit 0e16690c8f
72 changed files with 1875 additions and 897 deletions
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analysis/matlab/variations/naive_boxa_d0_13/logpower_result.txt
+6 -7
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@@ -1,7 +1,7 @@
==============================================================================
LOG-DAY MODEL + COHEN'S f + POWER -- naive_boxa_d0_13
LOG-DAY MODEL + COHEN'S f + POWER -- naive_boxa_d0_13 [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=8 nrep=120, alpha=0.05
@@ -10,9 +10,9 @@ stim x log(day) interaction: F(1,134)=4.865 p(resid)=0.02911 p(Satt)=0.02918 (
honest per-animal random slope (log-day): F(1,7.9)=3.22 p=0.1109
Cohen's f (interaction, partial eta^2=0.007) = 0.083 (small; f: .10 small, .25 medium, .40 large)
--- power simulation (log-day ground truth: stim:logday=+8.27, ratSD=8.74, resSD=14.51) ---
--- power simulation (log-day ground truth: stim:logday=+8.265, ratSD=8.74, resSD=14.51) ---
true stim:log(day) = +8.27 (100% of observed)
true stim:log(day) = +8.265 (100% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.21 | 0.55 <- observed
@@ -22,7 +22,7 @@ Cohen's f (interaction, partial eta^2=0.007) = 0.083 (small; f: .10 small, .25
16 | 0.98 | 0.98
24 | 1.00 | 1.00
true stim:log(day) = +4.13 (50% of observed)
true stim:log(day) = +4.133 (50% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.08 | 0.17 <- observed
@@ -32,5 +32,4 @@ Cohen's f (interaction, partial eta^2=0.007) = 0.083 (small; f: .10 small, .25
16 | 0.64 | 0.68
24 | 0.76 | 0.78
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).