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experiments-database/analysis/matlab/variations/unmerge_d6_10/result_rate.txt
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Experiments DB Dev fd40b6fb54 analysis(matlab): rate + count outputs, variation batch 5
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 02:32:53 -04:00

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VARIATION: unmerge_d6_10 [metric: success RATE (success/attempts)]
==============================================================================
model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success RATE (success/attempts))
day = training day within window (0 = first analyzed day)
treatment (stim=1): Electrode-Box-B2
control (stim=0): Electrode-Box-A2
N = 5 rats, 25 sessions raw day coverage: treat 6..10, control 6..10
(equal day coverage over this window)
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FULL MODEL SUMMARY -- fitlme
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Linear mixed-effects model fit by ML
Model information:
Number of observations 25
Fixed effects coefficients 4
Random effects coefficients 5
Covariance parameters 2
Formula:
behavior ~ 1 + day*stim + (1 | rat)
Model fit statistics:
AIC BIC LogLikelihood Deviance
-55.071 -47.758 33.535 -67.071
Fixed effects coefficients (95% CIs):
Name Estimate SE tStat DF pValue
{'(Intercept)'} 0.52619 0.041587 12.653 21 2.7251e-11
{'day' } 0.0099391 0.012456 0.79797 21 0.43382
{'stim' } 0.11742 0.053689 2.187 21 0.040203
{'day:stim' } 0.0022606 0.01608 0.14058 21 0.88954
Lower Upper
0.4397 0.61267
-0.015964 0.035842
0.0057634 0.22907
-0.03118 0.035701
Random effects covariance parameters (95% CIs):
Group: rat (5 Levels)
Name1 Name2 Type Estimate
{'(Intercept)'} {'(Intercept)'} {'std'} 0.039966
Lower Upper
0.016761 0.095298
Group: Error
Name Estimate Lower Upper
{'Res Std'} 0.055703 0.040859 0.075939
effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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stim x day (interaction) t(21)= 0.14 F(1)= 0.020 p=0.8895 p=0.8896 (df=20)
day (learning) t(21)= 0.80 F(1)= 0.637 p=0.4338 p=0.4343 (df=20)
stim (main, window start) t(21)= 2.19 F(1)= 4.783 p=0.0402 p=0.05066 (df=11)
interaction 95% CI: [-0.03118, +0.0357]
HONEST LME (per-animal random slope, day|rat): interaction F(1,5.0)=0.01, p=0.9219
(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
model above is the honest learning-rate test -- DF collapses toward the animal count.)
INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.8895, slope diff=+0.002261)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.