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 
  2406.9   2463.1  -1193.4   2386.9     2042 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-2.4101 -0.6770 -0.3969  0.8509  4.7853 

Random effects:
 Groups Name          Variance Std.Dev. Corr
 stim   (Intercept)   0.2824   0.5315       
 pp     (Intercept)   0.5090   0.7134       
        Difficulty2-1 0.4629   0.6804   0.44
Number of obs: 2052, groups:  stim, 57; pp, 36

Fixed effects:
                       Estimate Std. Error z value Pr(>|z|)    
(Intercept)            -0.83614    0.14945  -5.595 2.21e-08 ***
Difficulty2-1          -1.05754    0.21327  -4.959 7.10e-07 ***
Sound2-1               -0.04974    0.12396  -0.401    0.688    
Sound3-2               -0.57917    0.13006  -4.453 8.47e-06 ***
Difficulty2-1:Sound2-1  0.28621    0.24795   1.154    0.248    
Difficulty2-1:Sound3-2 -0.06891    0.25984  -0.265    0.791    
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Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1
