I used the ggeffects package to calculate the marginal effects of two logistic models (one binary and another multinomial). I was wondering if there is a way to visualize or export this results in a table, similar to the tables presenting the coefficients of the variables in the models as is done by sjPlot and Stargazer.
The object returned from
ggpredict() is a list which contains a
data.frame of predictions. So you can pass this data frame into any function that generates tables for presenting results.
library(ggeffects) mod <- lm(Sepal.Length ~ Sepal.Width, data = iris) preds <- ggpredict(mod) knitr::kable(preds$Sepal.Width) stargazer::stargazer(preds$Sepal.Width) reactable::reactable(preds$Sepal.Width)
Hope this helps.
Hi @mattwarkentin, thanks a lot for the reply.
It helped a lot, because now I'm understanding better the objects created by
I was trying to summarize the results as is done by Stargazer and sjPlot. For example, in Stargazer, it is possible to substitute the coefficients by the odds ratio. I wanted to do something like this. I will continue to tweak to figure it out.
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