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

     AIC      BIC   logLik deviance df.resid 
  2461.1   2500.5  -1223.6   2447.1     2045 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.6635 -0.7058 -0.4649  0.9390  3.0800 

Random effects:
 Groups Name        Variance Std.Dev.
 pp     (Intercept) 0.3808   0.6171  
Number of obs: 2052, groups:  pp, 36

Fixed effects:
                       Estimate Std. Error z value Pr(>|z|)    
(Intercept)            -0.75202    0.11502  -6.538 6.22e-11 ***
Difficulty2-1          -0.92613    0.10160  -9.115  < 2e-16 ***
Sound2-1               -0.04967    0.11974  -0.415    0.678    
Sound3-2               -0.52814    0.12537  -4.213 2.52e-05 ***
Difficulty2-1:Sound2-1  0.26529    0.23950   1.108    0.268    
Difficulty2-1:Sound3-2 -0.04595    0.25040  -0.184    0.854    
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Signif. codes:  0 *** 0.001 ** 0.01 * 0.05 . 0.1   1
