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VARIATION: boxa_a2_d6_10   [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
control   (stim=0): Electrode-Box-A, Electrode-Box-A2
N = 6 rats, 30 sessions   raw day coverage: treat 6..10, control 6..10
(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              30
    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
    231.74    240.15    -109.87          219.74  

Fixed effects coefficients (95% CIs):
    Name                   Estimate    SE        tStat      DF    pValue    
    {'(Intercept)'}        75.867      5.1856      14.63    26    4.6141e-14
    {'day'        }        3.1667      1.4985     2.1132    26      0.044334
    {'stim'       }        12.667      7.3335     1.7272    26      0.095989
    {'day:stim'   }             1      2.1192    0.47188    26       0.64095


    Lower       Upper 
      65.208    86.526
    0.086483    6.2469
     -2.4075    27.741
      -3.356     5.356

Random effects covariance parameters (95% CIs):
Group: rat (6 Levels)
    Name1                  Name2                  Type           Estimate
    {'(Intercept)'}        {'(Intercept)'}        {'std'}        6.3444  


    Lower     Upper 
    2.9639    13.581

Group: Error
    Name               Estimate    Lower     Upper 
    {'Res Std'}        8.2076      6.1852    10.891


effect                     t(df) / F(df1)     p (resid)    Satterthwaite: p (df)
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stim x day (interaction)   t(26)=  0.47 F(1)=  0.223  p=0.6409    p=0.6413 (df=24)
day (learning)             t(26)=  2.11 F(1)=  4.466  p=0.04433    p=0.04517 (df=24)
stim (main, window start)  t(26)=  1.73 F(1)=  2.983  p=0.09599    p=0.1083 (df=13)
interaction 95% CI: [-3.356, +5.356]
HONEST LME (per-animal random slope, day|rat): interaction F(1,6.0)=0.18, p=0.6872
  (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=0.6409, slope diff=+1)
Paper (N=24, count): interaction t(227)=2.68, F(1)=7.12, p=0.008.