============================================================================== VARIATION: unmerge_d0_13 ============================================================================== model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success COUNT) day = training day within window (0 = first analyzed day) treatment (stim=1): Electrode-Box-B2 control (stim=0): Electrode-Box-A2 N = 6 rats, 70 sessions raw day coverage: treat 0..13, control 0..13 (equal day coverage over this window) ============================================================================== FULL MODEL SUMMARY -- fitlme ============================================================================== Linear mixed-effects model fit by ML Model information: Number of observations 70 Fixed effects coefficients 4 Random effects coefficients 6 Covariance parameters 2 Formula: behavior ~ 1 + day*stim + (1 | rat) Model fit statistics: AIC BIC LogLikelihood Deviance 586.72 600.22 -287.36 574.72 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue {'(Intercept)'} 21.7 4.5484 4.7709 66 1.0537e-05 {'day' } 6.4863 0.71372 9.0881 66 3.0346e-13 {'stim' } 6.0226 6.3135 0.95392 66 0.3436 {'day:stim' } 1.5467 0.93755 1.6497 66 0.10376 Lower Upper 12.619 30.781 5.0614 7.9113 -6.5827 18.628 -0.32523 3.4185 Random effects covariance parameters (95% CIs): Group: rat (6 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 0 Lower Upper NaN NaN Group: Error Name Estimate Lower Upper {'Res Std'} 14.676 12.436 17.32 effect t (df) F (df1) p ------------------------------------------------------------------ stim x day (interaction) t(66)= 1.65 F(1)= 2.721 p=0.1038 day (learning) t(66)= 9.09 F(1)= 82.593 p=3.035e-13 stim (main, window start) t(66)= 0.95 F(1)= 0.910 p=0.3436 interaction 95% CI: [-0.33, +3.42] INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.1038, slope diff=+1.55) Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.