analysis(matlab): rate + count outputs, variation batch 2
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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VARIATION: naive_a2_d6_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, Naive
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N = 9 rats, 65 sessions raw day coverage: treat 6..13, control 6..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 65
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Fixed effects coefficients 4
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Random effects coefficients 9
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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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-124.85 -111.8 68.424 -136.85
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.49381 0.029854 16.541 61 3.1921e-24
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{'day' } 0.012224 0.0052666 2.321 61 0.023647
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{'stim' } 0.14414 0.051782 2.7835 61 0.007149
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{'day:stim' } 0.0034682 0.0093748 0.36995 61 0.7127
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Lower Upper
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0.43411 0.5535
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0.0016924 0.022755
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0.040593 0.24768
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-0.015278 0.022214
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Random effects covariance parameters (95% CIs):
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Group: rat (9 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 0.053368
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Lower Upper
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0.029753 0.095724
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.076088 0.063265 0.091511
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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(61)= 0.37 F(1)= 0.137 p=0.7127 p=0.7128 (df=58)
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day (learning) t(61)= 2.32 F(1)= 5.387 p=0.02365 p=0.02384 (df=58)
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stim (main, window start) t(61)= 2.78 F(1)= 7.748 p=0.007149 p=0.01177 (df=19)
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interaction 95% CI: [-0.01528, +0.02221]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,7.4)=0.04, p=0.8393
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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=0.7127, slope diff=+0.003468)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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