Generation

generate functionThu, 20 Apr 2023

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) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma(model1) sigma

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