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

     AIC      BIC   logLik deviance df.resid 
  3411.3   3458.6  -1697.6   3395.3     2728 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8768 -0.7580 -0.4807  0.9431  3.5940 

Random effects:
 Groups Name        Variance Std.Dev.
 pp     (Intercept) 0.49029  0.7002  
 stim   (Intercept) 0.02598  0.1612  
Number of obs: 2736, groups:  pp, 48; stim, 19

Fixed effects:
                       Estimate Std. Error z value Pr(>|z|)    
(Intercept)            -0.53765    0.11597  -4.636 3.55e-06 ***
Difficulty2-1          -0.63663    0.11265  -5.651 1.59e-08 ***
Sound2-1               -0.08890    0.10101  -0.880    0.379    
Sound3-2               -0.53512    0.10531  -5.082 3.74e-07 ***
Difficulty2-1:Sound2-1 -0.28970    0.20203  -1.434    0.152    
Difficulty2-1:Sound3-2  0.05042    0.21023   0.240    0.810    
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Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1
