Command margins in ordered logit

[arojasj]

How can I use the command "margins" to calculate the margins effect of my ordered logit?

I already have the logistic but I dont know how to apply the command margin to get the predict effect.

< m1<- polr(datos$ODH~ datos$inf_male_esp+ datos$form_muj_esp, data=datos, Hess=T)

< m<- polr(ODH~form_male_esp+ inf_muj_esp,data= datos, Hess=TRUE, method= "logistic")

I computed the command "margins" but it did not work because it didnt show the effect at each level

< summary(margins(m, type="response"))

[nirgrahamuk]

Hi!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…