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how to summarise multiple logistic regression models in a table?

I have a dataset with age as continuous and as a factor, sex as a factor and 4 groups. logistic_s <- data.frame( ID = c(1:6), Age = c(9, 12, 16, 57, 29, 24), Age1 = factor(c(1, 2, 2, 6, 3, 3)), Sex = factor(c(“F”, “M”, “F”, “M”, “F”, “F”)), N = c(rep(1, 6)), G = […]