============================================================================== PAPER LME REPLICATION -- unmerged ============================================================================== model: behavior ~ stim + day + stim:day + (1|rat) [stim: Electrode-Box-B2=1 vs Electrode-Box-A2=0] N = 6 rats, 71 sessions (day raw; day 0 = paper "Day 1") day coverage: stim(B2) 0..14, control(A2) 0..13 ============================================================================== FULL MODEL SUMMARY -- fitlme: behavior ~ stim + day + stim:day + (1|rat) ============================================================================== Linear mixed-effects model fit by ML Model information: Number of observations 71 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 596.33 609.9 -292.16 584.33 Fixed effects coefficients (95% CIs): Name Estimate SE tStat DF pValue {'(Intercept)'} 21.53 5.5382 3.8874 67 0.00023506 {'day' } 6.6587 0.72367 9.2014 67 1.6706e-13 {'stim' } 8.0204 7.6977 1.0419 67 0.3012 {'day:stim' } 0.93747 0.9187 1.0204 67 0.3112 Lower Upper 10.475 32.584 5.2143 8.1032 -7.3444 23.385 -0.89627 2.7712 Random effects covariance parameters (95% CIs): Group: rat (6 Levels) Name1 Name2 Type Estimate {'(Intercept)'} {'(Intercept)'} {'std'} 5.7931 Lower Upper 2.4723 13.574 Group: Error Name Estimate Lower Upper {'Res Std'} 14.163 11.93 16.813 effect t (df) F (df1) p ------------------------------------------------------------------ stim x day (interaction) t(67)= 1.02 F(1)= 1.041 p=0.3112 day (learning) t(67)= 9.20 F(1)= 84.665 p=1.671e-13 stim (main, Day 1) t(67)= 1.04 F(1)= 1.086 p=0.3012 interaction 95% CI: [-0.90, +2.77] Paper (N=24): interaction t(227)=2.68, F(1)=7.12, p=0.008; day t(227)=9.64, F(1)=267.64, p=1.2e-18; stim t(227)=0.23, F(1)=0.053, p=0.81.