Produce a survival curve plot and number-at-risk table using survminer::ggsurvplot
and finalfit
conventions.
surv_plot(.data, dependent, explanatory, ...)
.data | Dataframe. |
---|---|
dependent | Character vector of length 1: Survival object of the form |
explanatory | Character vector of max length 2: quoted name(s) of explanatory variables. |
... | Arguments passed to |
Returns a table and plot produced in ggplot2
.
Other finalfit plot functions: coefficient_plot
,
ff_plot
, hr_plot
,
or_plot
library(finalfit) library(dplyr) # Survival plot data(colon_s) explanatory = c("perfor.factor") dependent = "Surv(time, status)" colon_s %>% surv_plot(dependent, explanatory, xlab="Time (days)", pval=TRUE, legend="none")