# dependent variable y <- as.factor(indvar_FODs$categorical_FOD_FODs) # independent variables x1 <- indvar_FODs$Condition_FODs x2 <- indvar_FODs$Language_used_FODs # model with optimizer argument mod_FODs <- glmer(y ~ x1 * x2 + (1|subject_FODs), family = binomial, data = indvar_FODs, control = glmerControl(optimizer = "bobyqa")) # print model summary(mod_FODs) include optimizer because of convergence error

options(contrasts = c("contr.sum", "contr.poly"))

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Text Description to SQL Command: Create a SQL command from a description.
Translate Languages: Translate code to any programming language.
Generate HTML from Description: Generate small HTML from Description.
Code to Explanation: Any code explained in plain english.
Fix invalid Code: To spot a missing character somewhere can be frustrating. This feature will help you to fix it.
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Git Command from Description: Find the Git Command you are looking for from a description.
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Function from Docstring: Provide a docstring to generate the actual function.
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