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 
  2111.8   2166.7  -1045.9   2091.8     1790 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.5738 -0.6787 -0.4247  0.8867  4.3249 

Random effects:
 Groups Name          Variance Std.Dev. Corr
 stim   (Intercept)   0.04522  0.2127       
 pp     (Intercept)   0.41853  0.6469       
        Difficulty2-1 0.12247  0.3500   0.23
Number of obs: 1800, groups:  stim, 60; pp, 30

Fixed effects:
                       Estimate Std. Error z value Pr(>|z|)    
(Intercept)            -0.80384    0.13477  -5.965 2.45e-09 ***
Difficulty2-1          -1.21777    0.14406  -8.453  < 2e-16 ***
Sound2-1               -0.40682    0.13078  -3.111  0.00187 ** 
Sound3-2               -0.33433    0.14004  -2.387  0.01697 *  
Difficulty2-1:Sound2-1 -0.49028    0.26149  -1.875  0.06080 .  
Difficulty2-1:Sound3-2 -0.01095    0.28003  -0.039  0.96881    
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Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1
