Generation

generate functionTue, 18 Apr 2023

> 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 categorical_FOD_FODs is the dependent variable. please apply multinomial logistic regression. treat each level of the Condition_FODs variable (4 levels) and Language_used_FODs variable (5 levels) equally. include the interaction effect of variables in the analysis

set.seed(123) FODs <- with(indvar_FODs, data.frame( categorical_FOD_FODs = categorical_FOD_FODs, Condition_FODs = factor(Condition_FODs), Language_used_FODs = factor(Language_used_FODs), stringsAsFactors = FALSE ) ) n <- nrow(FODs) train <- sample(1:n, n * 0.8)

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