Closed ddsjoberg closed 2 years ago
When the survival quantile is not met, add_quantile() is placing the line segment at the last followup instead of omitting it
add_quantile()
library(ggsurvfit) survfit2(Surv(time, status) ~ surg, data = df_colon) |> tidy_survfit() %>% dplyr::filter(strata == "Short") |> dplyr::slice_tail(n = 1) %>% dplyr::select(time, strata, estimate) #> # A tibble: 1 × 3 #> time strata estimate #> <dbl> <fct> <dbl> #> 1 9.11 Short 0.505 survfit2(Surv(time, status) ~ surg, data = df_colon) |> # build Kaplan-Meier plot ---------------------------------------------------- ggsurvfit(size = 1) + add_confidence_interval() + add_risktable() + add_quantile(color = "gray50", size = 0.7, y_value = 0.2)
Created on 2022-08-14 by the reprex package (v2.0.1)
When the survival quantile is not met,
add_quantile()
is placing the line segment at the last followup instead of omitting itCreated on 2022-08-14 by the reprex package (v2.0.1)