> 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 maximum likelihood (Laplace Approximation) ['glmerMod']
 Family: binomial  ( logit )
Formula: categorical_FOD_FODs ~ Condition_FODs + Language_used_FODs + (1 | subject_FODs)
   Data: indvar_FODs

     AIC      BIC   logLik deviance df.resid 
  9493.3   9617.2   -4739.7   9479.3     4304 

Scaled residuals: 
    Min      1Q  Median      3Q     Max 
-1.8235 -0.7290 -0.6139  0.7590  1.8492 

Random effects:
 Groups Name        Variance Std.Dev.
 subject_FODs (Intercept) 0.07844 0.2815 
Number of obs: 4320, groups:  subject_FODs, 160

Fixed effects:
                 Estimate Std. Error z value Pr(