Logistic regression

[rempsyc]

Logistic regression

[rempsyc]

Hi Tom, thanks for opening this issue!

Is this what you might need?

library(report)
library(rempsyc)
log_model <- glm(vs ~ mpg + cyl + drat, family = binomial, data = mtcars)
log_model |>
  report() |>
  as.data.frame() |>
  nice_table(highlight = TRUE, report = "lm")

^{Created on 2022-09-12 by the reprex package (v2.0.1)}

[rempsyc]

Or alternatively:

library(broom)
library(rempsyc)
log_model <-  glm(vs ~ mpg + cyl + drat, family = binomial, data = mtcars)
log_model |>
  tidy(conf.int = TRUE) |>
  as.data.frame() |>
  nice_table(highlight = TRUE, broom = "lm")

^{Created on 2022-09-12 by the reprex package (v2.0.1)}

[rempsyc]

I am closing this issue for now but don't hesitate to reopen it if I have not answered your question.