analysis(matlab): rate + count outputs, variation batch 4

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Experiments DB Dev
2026-07-24 02:32:53 -04:00
parent 0e16690c8f
commit 1606eb698b
72 changed files with 1869 additions and 891 deletions
@@ -1,7 +1,7 @@
==============================================================================
LOG-DAY MODEL + COHEN'S f + POWER -- right_only_d0_5
LOG-DAY MODEL + COHEN'S f + POWER -- right_only_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=4, control n=3 nrep=120, alpha=0.05
@@ -10,9 +10,9 @@ stim x log(day) interaction: F(1,38)=5.667 p(resid)=0.02241 p(Satt)=0.0219 (df
honest per-animal random slope (log-day): F(1,9.0)=4.64 p=0.05966
Cohen's f (interaction, partial eta^2=0.036) = 0.194 (small-medium; f: .10 small, .25 medium, .40 large)
--- power simulation (log-day ground truth: stim:logday=+16.20, ratSD=0.00, resSD=13.20) ---
--- power simulation (log-day ground truth: stim:logday=+16.2, ratSD=0, resSD=13.2) ---
true stim:log(day) = +16.20 (100% of observed)
true stim:log(day) = +16.2 (100% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.33 | 0.65 <- observed
@@ -22,7 +22,7 @@ Cohen's f (interaction, partial eta^2=0.036) = 0.194 (small-medium; f: .10 smal
16 | 1.00 | 1.00
24 | 1.00 | 1.00
true stim:log(day) = +8.10 (50% of observed)
true stim:log(day) = +8.101 (50% of observed)
N/group | per-animal power | LME power
------------------------------------------
3 | 0.09 | 0.24 <- observed
@@ -32,5 +32,4 @@ Cohen's f (interaction, partial eta^2=0.036) = 0.194 (small-medium; f: .10 smal
16 | 0.69 | 0.69
24 | 0.92 | 0.92
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).