analysis(matlab): rate + count outputs, variation batch 5
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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VARIATION: unmerge_d0_13 [metric: success RATE (success/attempts)]
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==============================================================================
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model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success RATE (success/attempts))
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day = training day within window (0 = first analyzed day)
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treatment (stim=1): Electrode-Box-B2
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control (stim=0): Electrode-Box-A2
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N = 6 rats, 70 sessions raw day coverage: treat 0..13, control 0..13
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(equal day coverage over this window)
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==============================================================================
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FULL MODEL SUMMARY -- fitlme
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==============================================================================
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Linear mixed-effects model fit by ML
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Model information:
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Number of observations 70
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Fixed effects coefficients 4
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Random effects coefficients 6
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Covariance parameters 2
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Formula:
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behavior ~ 1 + day*stim + (1 | rat)
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Model fit statistics:
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AIC BIC LogLikelihood Deviance
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-114.71 -101.22 63.353 -126.71
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.25633 0.036798 6.9659 66 1.8623e-09
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{'day' } 0.032331 0.0047766 6.7686 66 4.1691e-09
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{'stim' } 0.03233 0.051391 0.6291 66 0.53146
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{'day:stim' } 0.011248 0.0061725 1.8223 66 0.07294
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Lower Upper
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0.18286 0.3298
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0.022794 0.041868
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-0.070275 0.13493
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-0.0010756 0.023572
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Random effects covariance parameters (95% CIs):
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Group: rat (6 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 0.038979
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Lower Upper
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0.016492 0.092125
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.093402 0.07855 0.11106
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effect t(df) / F(df1) p (resid) Satterthwaite: p (df)
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----------------------------------------------------------------------------
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stim x day (interaction) t(66)= 1.82 F(1)= 3.321 p=0.07294 p=0.07278 (df=68)
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day (learning) t(66)= 6.77 F(1)= 45.814 p=4.169e-09 p=3.37e-09 (df=70)
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stim (main, window start) t(66)= 0.63 F(1)= 0.396 p=0.5315 p=0.5377 (df=17)
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interaction 95% CI: [-0.001076, +0.02357]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,41.8)=3.20, p=0.08108
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(Satterthwaite DF ~= residual on this random-intercept model; the random-slope
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model above is the honest learning-rate test -- DF collapses toward the animal count.)
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INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.07294, slope diff=+0.01125)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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