In R, I am using ggsurvplot_facet
to produce survival curves plotted for groups sex
as a facet stratified by a variable ecog
. However, I would like to have an overall group as well in the same facet as well. Is this possible?
ggsurvplot_add_all
did not help.
Here is some example data:
library(survminer)
lung$ecog <- ifelse(lung$ph.ecog == 0, 0, 1)
fit <- surv_fit(Surv(time, status) ~ sex, data = lung)
fig_os <- ggsurvplot_facet(fit, data = lung, facet.by = 'ecog')
I need a survival curve for the whole population, independent of ecog
.
Cheat a little bit, by row-binding lung
to a copy of lung
where in the latter ecog
has been replaced with a constant.
Cheat, making a copy, setting ecog to 2, row-binding, and changing ecog in the row-bound dataset to a factor.
lung2 <- copy(lung)
lung2$ecog <- 2
lung2 <- rbind(lung,lung2)
lung2$ecog <- factor(lung2$ecog,labels = c("0", "1", "Overall"))
Then use your code above, but using lung2
as the dataset.
fit <- surv_fit(Surv(time, status) ~ sex, data = lung2)
fig_os <- ggsurvplot_facet(fit, data = lung2, facet.by = 'ecog')
Output: