analysis(matlab): rate + count outputs, variation batch 1
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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==============================================================================
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VARIATION: boxa_b2_d0_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-A, Electrode-Box-B2
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control (stim=0): Electrode-Box-A2
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N = 7 rats, 72 sessions raw day coverage: treat 0..10, control 0..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 72
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Fixed effects coefficients 4
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Random effects coefficients 7
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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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-125.6 -111.94 68.799 -137.6
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Fixed effects coefficients (95% CIs):
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Name Estimate SE tStat DF pValue
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{'(Intercept)'} 0.22991 0.038687 5.9428 68 1.07e-07
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{'day' } 0.040788 0.0055544 7.3434 68 3.402e-10
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{'stim' } 0.0034269 0.050885 0.067345 68 0.9465
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{'day:stim' } 0.013172 0.0069458 1.8964 68 0.062154
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Lower Upper
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0.15271 0.30711
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0.029705 0.051872
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-0.098113 0.10497
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-0.00068802 0.027032
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Random effects covariance parameters (95% CIs):
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Group: rat (7 Levels)
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Name1 Name2 Type Estimate
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{'(Intercept)'} {'(Intercept)'} {'std'} 0.043995
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Lower Upper
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0.020897 0.092622
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Group: Error
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Name Estimate Lower Upper
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{'Res Std'} 0.087482 0.073647 0.10392
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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(68)= 1.90 F(1)= 3.596 p=0.06215 p=0.06217 (df=68)
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day (learning) t(68)= 7.34 F(1)= 53.926 p=3.402e-10 p=3.124e-10 (df=69)
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stim (main, window start) t(68)= 0.07 F(1)= 0.005 p=0.9465 p=0.9471 (df=18)
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interaction 95% CI: [-0.000688, +0.02703]
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HONEST LME (per-animal random slope, day|rat): interaction F(1,62.1)=3.56, p=0.06388
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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=0.06215, slope diff=+0.01317)
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Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
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