============================================================================== VARIATION: right_only_d0_5 [metric: success RATE (success/attempts)] ============================================================================== model: behavior ~ stim + day + stim:day + (1|rat) (behavior = success RATE (success/attempts)) 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, 42 sessions raw day coverage: treat 0..5, control 0..5 (equal day coverage over this window) ============================================================================== FULL MODEL SUMMARY -- fitlme ============================================================================== Linear mixed-effects model fit by ML Model information: Number of observations 42 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 -78.771 -68.345 45.385 -90.771 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue {'(Intercept)'} 0.2186 0.041919 5.2147 38 6.7762e-06 {'day' } 0.043366 0.010166 4.2656 38 0.00012743 {'stim' } -0.074496 0.055454 -1.3434 38 0.18712 {'day:stim' } 0.049806 0.013449 3.7033 38 0.00067357 Lower Upper 0.13374 0.30346 0.022785 0.063946 -0.18676 0.037766 0.02258 0.077032 Random effects covariance parameters (95% CIs): Group: rat (7 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 0.049289 Lower Upper 0.023894 0.10168 Group: Error Name Estimate Lower Upper {'Res Std'} 0.073663 0.058279 0.093108 effect t(df) / F(df1) p (resid) Satterthwaite: p (df) ---------------------------------------------------------------------------- stim x day (interaction) t(38)= 3.70 F(1)= 13.715 p=0.0006736 p=0.0007295 (df=35) day (learning) t(38)= 4.27 F(1)= 18.195 p=0.0001274 p=0.0001438 (df=35) stim (main, window start) t(38)= -1.34 F(1)= 1.805 p=0.1871 p=0.1975 (df=16) interaction 95% CI: [+0.02258, +0.07703] HONEST LME (per-animal random slope, day|rat): interaction F(1,7.0)=9.42, p=0.0181 (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 SIGNIFICANT positive -- treatment improves FASTER (benefit accumulates) (p=0.0006736, slope diff=+0.04981) Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.