Use univariate analysis in hr_plot plot and add subgroups about finalfit HOT 3 CLOSED

Multiple different models within the same plot is not currently supported. Thanks again.

from finalfit.

Thanks for your comments.
We try to make everything possible not not include a bewildering set of options.
So there are no plans to include the option to make univariable forest plots for the reasons you say.

But it is quite straightforward to do and the same method for groups.

p_uni = colon_s %>%
  coxphuni(dependent, explanatory) %>% 
  hr_plot(colon_s, dependent, explanatory, coxfit = .,
          breaks = c(0.5, 1, 1.5, 2),
          dependent_label = "Survival (univariable)", suffix = "",
          plot_opts=list(xlab(""),
                         expand_limits(x = c(0.5, 2.0))))
p_multi = colon_s %>%
  hr_plot(dependent, explanatory,
          breaks = c(0.5, 1, 1.5, 2),
          dependent_label = "Survival (multivariable)", suffix = "",
          plot_opts=list(expand_limits(x = c(0.5, 2.0))))

ggpubr::ggarrange(p_uni, p_multi, ncol = 1)

from finalfit.

Thanks for the quick feedback!

Regarding subgroups, I was hoping to add each subgroup in each comparison inside the same plot (and colour them differently) rather than create plots for every condition.

Something like:

extracted from here.

Guess I should add geom_errorbarh for every condition and pass it to plot_opts but I am unsure how to place them in each specific condition.

from finalfit.