Model terms are presented in inverse order to dataframe. e.g Sepal.Width 1st, Petal.Width last in summary, but Petal.Width is on top in plot. sort = "ascending" sorts in effect size terms, but there is no equivalent to fct_rev to sort by model's order.
test <- iris%>% mutate(LengthDummy= if_else(Sepal.Length>5, "Long", "Short") %>% as_factor(.)) %>%
bife(LengthDummy~ Sepal.Width+ Petal.Length+Petal.Width
| Species, data = ., "logit")
summary(test)
ggstatsplot::ggcoefstats(test)
Model terms are presented in inverse order to dataframe. e.g Sepal.Width 1st, Petal.Width last in summary, but Petal.Width is on top in plot.
sort = "ascending"sorts in effect size terms, but there is no equivalent tofct_revto sort by model's order.