============================================================================== VARIATION: right_only_d0_10 ============================================================================== 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, Right-Electrode control (stim=0): Electrode-Box-A2 N = 7 rats, 72 sessions raw day coverage: treat 0..10, control 0..10 (equal day coverage over this window) ============================================================================== FULL MODEL SUMMARY -- fitlme ============================================================================== Linear mixed-effects model fit by ML Model information: Number of observations 72 Fixed effects coefficients 4 Random effects coefficients 7 Covariance parameters 2 Formula: behavior ~ 1 + day*stim + (1 | rat) Model fit statistics: AIC BIC LogLikelihood Deviance 581.39 595.05 -284.69 569.39 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue {'(Intercept)'} 17.35 5.0416 3.4414 68 0.00099395 {'day' } 7.979 0.75658 10.546 68 5.9429e-16 {'stim' } 2.4226 6.6282 0.36549 68 0.71588 {'day:stim' } 1.73 0.94724 1.8264 68 0.07218 Lower Upper 7.2897 27.411 6.4693 9.4888 -10.804 15.649 -0.16015 3.6202 Random effects covariance parameters (95% CIs): Group: rat (7 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 5.3461 Lower Upper 2.377 12.024 Group: Error Name Estimate Lower Upper {'Res Std'} 11.956 10.063 14.205 effect t(df) / F(df1) p (resid) Satterthwaite: p (df) ---------------------------------------------------------------------------- stim x day (interaction) t(68)= 1.83 F(1)= 3.336 p=0.07218 p=0.07218 (df=68) day (learning) t(68)= 10.55 F(1)=111.222 p=5.943e-16 p=4.533e-16 (df=70) stim (main, window start) t(68)= 0.37 F(1)= 0.134 p=0.7159 p=0.7187 (df=19) interaction 95% CI: [-0.16, +3.62] HONEST LME (per-animal random slope, day|rat): interaction F(1,20.5)=2.56, p=0.1246 (Satterthwaite DF ~= residual on this random-intercept model; the random-slope model above is the honest learning-rate test -- DF collapses toward the animal count.) INTERPRETATION: stim x day interaction n.s. -- slopes parallel (no differential learning rate) (p=0.07218, slope diff=+1.73) Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008.