Forest plot univariable in R (finalfit | or_plot)
I want to create a forest plot of the OR using univariable regression. Preferably with an outcome like the or_plot() from the finalfit package. However, this does not support univariable analysis. Can someone help me with an alternative? Or a method to combine the univariable outcome of finalfit(dependent, explanatory)?
Finalfit example using finalfit
The last figure creates a forest plot, but for multivariable only. I would like such a plot for univariable.
Hopefully someone can help me with this question.
I tried creating a ggplot from the finalfit results table, but this is not in the desired format and styling as I would prefer.
Solution
Yes, you can do this.
library(finalfit)
library(gridExtra)
explanatory = c("age.factor", "sex.factor", "obstruct.factor", "perfor.factor")
dependent = "mort_5yr"
fit_uni = colon_s %>%
glmuni(dependent, explanatory)
p_uni = colon_s %>%
or_plot(dependent, explanatory, suffix = " (univariable)", remove_ref = TRUE,
glmfit = fit_uni)
p_multi = colon_s %>%
or_plot(dependent, explanatory, suffix = " (multivariable)", remove_ref = TRUE)
grid.arrange(p_uni, p_multi)
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