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VARIATION: right_only_d6_13   [metric: success COUNT]
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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 = 6 rats, 42 sessions   raw day coverage: treat 6..13, control 6..13
(equal day coverage over this window)

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FULL MODEL SUMMARY -- fitlme
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Linear mixed-effects model fit by ML

Model information:
    Number of observations              42
    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
    309.98    320.4    -148.99          297.98  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat     DF    pValue    
    {'(Intercept)'}        75.163      5.7598    13.049    38    1.2935e-15
    {'day'        }        1.7153        1.01    1.6984    38      0.097608
    {'stim'       }        11.525      7.0338    1.6386    38       0.10956
    {'day:stim'   }        2.7579      1.1891    2.3193    38       0.02585


    Lower       Upper 
      63.503    86.823
    -0.32925    3.7599
     -2.7138    25.764
     0.35071    5.1651

Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        6.4688  


    Lower     Upper
    3.3423    12.52

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        7.3669      5.8525    9.2731


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
----------------------------------------------------------------------------
stim x day (interaction)   t(38)=  2.32 F(1)=  5.379  p=0.02585    p=0.02591 (df=38)
day (learning)             t(38)=  1.70 F(1)=  2.885  p=0.09761    p=0.09766 (df=38)
stim (main, window start)  t(38)=  1.64 F(1)=  2.685  p=0.1096    p=0.1304 (df=11)
interaction 95% CI: [+0.3507, +5.165]
HONEST LME (per-animal random slope, day|rat): interaction F(1,21.2)=4.96, p=0.03697
  (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=0.02585, slope diff=+2.758)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.
