Generalized linear mixed model fit by maximum likelihood (Laplace Approximation) ['glmerMod']
 Family: binomial  ( logit )
Formula: depvar ~ Difficulty * Sound + (1 + Difficulty | pp) + (1 | stim)
   Data: datafile
Control: glmerControl(optimizer = "bobyqa", optCtrl = list(maxfun = 10000))

     AIC      BIC   logLik deviance df.resid 
  3383.8   3443.0  -1681.9   3363.8     2726 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.9609 -0.7426 -0.4522  0.9164  4.4196 

Random effects:
 Groups Name          Variance Std.Dev. Corr
 stim   (Intercept)   0.1435   0.3788       
 pp     (Intercept)   0.5524   0.7432       
        Difficulty2-1 0.0844   0.2905   0.82
Number of obs: 2736, groups:  stim, 57; pp, 48

Fixed effects:
                       Estimate Std. Error z value Pr(>|z|)    
(Intercept)            -0.56647    0.12663  -4.473 7.70e-06 ***
Difficulty2-1          -0.68990    0.14049  -4.911 9.08e-07 ***
Sound2-1               -0.09516    0.10257  -0.928    0.354    
Sound3-2               -0.55825    0.10719  -5.208 1.91e-07 ***
Difficulty2-1:Sound2-1 -0.30506    0.20514  -1.487    0.137    
Difficulty2-1:Sound3-2  0.02224    0.21418   0.104    0.917    
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Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1
