> table(indvar_FODs$categorical_FOD_FODs) ascending descending identity 1683 1432 206 > table(indvar_FODs$Condition_FODs) A B C D 880 880 880 880 > table(indvar_FODs$Language_used_FODs) English German Hungarian Italian Turkish 880 160 160 160 2160 > mod <- glmer('categorical_FOD_FODs ~ Condition_FODs + Language_used_FODs + (1 | subject_FODs)', + data = indvar_FODs, family = binomial) According to the singularity in this data, add this method = "", data= ,control = (opt = "")) what should I write for the 'method' and 'control' and for the 'opt'? i don't think family is binomial

> summary(mod)
Generalized linear mixed model fit by the Laplace approximation 
Formula: categorical_FOD_FODs ~ Condition_FODs + Language_used_FODs + (1 | subject_FODs) 
   Data: indvar_FODs 
   AIC   BIC logLik deviance
 1805.1 1828.0  -898.6    1797.1
Random effects:
 Groups Name        Variance Std.Dev.
 subject_FODs (Intercept) 0.000981 0.03110 
Number of obs: 3360, groups: subject_FODs, 240

Fixed effects:
                 Estimate Std. Error z value Pr(>|z|)    
(Intercept)        -0.3914     0.1146  -3.417 0.000633 ***
Condition_FODsB     0.2631     0.1572   1.674 0.094595 .  
Condition_FODsC     0.1414     0.1572   0