model1 <- lmer(categorical_FOD_FODs~Condition_FODs*Gender_FODs + (1|subject_FODs), data=indvar_FODs, control = lmerControl( optimizer ='bobyqa', optCtrl=list(method='nlminb', maxfun=6000000), calc.derivs = FALSE)) Error in mkRespMod(fr, REML = REMLpass) : response must be numeric Please edit the code according to the categorical dependent variable which is categorical_FOD_FODs

model1 <- lmer(categorical_FOD_FODs~Condition_FODs*Gender_FODs + (1|subject_FODs), 
               data=indvar_FODs,
               control = lmerControl(
                 optimizer ='bobyqa', optCtrl=list(method='nlminb', maxfun=6000000), calc.derivs = FALSE))
    
summary(model1)

coef(model1)
fixef(model1)

sigma(model1)

sigma(model1)

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sigma(model1)

sigma(model1)

sigma(model1)

sigma(model1)

sigma(model1)

sigma(model1)

sigma(model1)


sigma(model1)

sigma(model1)

sigma(model1)

sigma(model1)

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sigma(model1)

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