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2009 Jan 29
0
lmer for a binary dependent variable
...ance of the predictors? The methods which I found described in Baayen (2008). Analyzing Linguistic Data: A Practical Introduction to Statistics Using Ror on the net did not work out. Here is what I got: 
 
> prec0_va2.lmer
Generalized linear mixed model fit by the Laplace approximation 
Formula: prec_0 ~ (verb + agent)^2 + (1 | subject) 
   Data: risuvane1_binom_tolmer 
   AIC   BIC logLik deviance
 559.7 590.5 -272.8    545.7
Random effects:
 Groups  Name        Variance Std.Dev.
 subject (Intercept) 1.9975   1.4133  
Number of obs: 600, groups: subject, 30
 
Fixed effects:
                     ...