==============================================================================
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.
