analysis(matlab): rate + count outputs, variation batch 4
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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VARIATION: right_only_d6_10 [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, Right-Electrode
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control (stim=0): Electrode-Box-A2
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N = 6 rats, 30 sessions raw day coverage: treat 6..10, control 6..10
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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 30
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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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-68.28 -59.872 40.14 -80.28
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.52619 0.041043 12.82 26 9.5461e-13
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{'day' } 0.0099391 0.012595 0.78916 26 0.43716
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{'stim' } 0.090314 0.050267 1.7967 26 0.084015
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{'day:stim' } 0.0102 0.015425 0.66127 26 0.51426
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Lower Upper
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0.44182 0.61055
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-0.015949 0.035828
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-0.013012 0.19364
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-0.021507 0.041907
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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'} 0.038283
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Lower Upper
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0.016862 0.086916
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.056325 0.042446 0.074741
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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(26)= 0.66 F(1)= 0.437 p=0.5143 p=0.5147 (df=24)
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day (learning) t(26)= 0.79 F(1)= 0.623 p=0.4372 p=0.4377 (df=24)
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stim (main, window start) t(26)= 1.80 F(1)= 3.228 p=0.08402 p=0.09376 (df=14)
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interaction 95% CI: [-0.02151, +0.04191]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.23, p=0.6495
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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=0.5143, slope diff=+0.0102)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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