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 
  2102.2   2157.1  -1041.1   2082.2     1790 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8604 -0.6810 -0.4205  0.8674  5.3246 

Random effects:
 Groups Name          Variance Std.Dev. Corr
 pp     (Intercept)   0.42934  0.6552       
        Difficulty2-1 0.13367  0.3656   0.22
 stim   (Intercept)   0.08989  0.2998       
Number of obs: 1800, groups:  pp, 30; stim, 20

Fixed effects:
                       Estimate Std. Error z value Pr(>|z|)    
(Intercept)            -0.81139    0.14930  -5.435 5.49e-08 ***
Difficulty2-1          -1.22820    0.19031  -6.454 1.09e-10 ***
Sound2-1               -0.41010    0.13123  -3.125  0.00178 ** 
Sound3-2               -0.33733    0.14044  -2.402  0.01630 *  
Difficulty2-1:Sound2-1 -0.49357    0.26243  -1.881  0.06001 .  
Difficulty2-1:Sound3-2 -0.01125    0.28084  -0.040  0.96805    
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Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1
