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Helper function to create survival estimation grobs

Source: R/h_km.R
h_grob_median_surv.Rd

[Deprecated]

The survival fit is transformed in a grob containing a table with groups in rows characterized by N, median and 95% confidence interval.

Usage

h_grob_median_surv(
  fit_km,
  armval = "All",
  x = 0.9,
  y = 0.9,
  width = grid::unit(0.3, "npc"),
  ttheme = gridExtra::ttheme_default()
)

Arguments

fit_km

(survfit)
result of survival::survfit().

armval

(string)
used as strata name when treatment arm variable only has one level. Default is "All".

x

(proportion)
a value between 0 and 1 specifying x-location.

y

(proportion)
a value between 0 and 1 specifying y-location.

width

(grid::unit)
width (as a unit) to use when printing the grob.

ttheme

(list)
see gridExtra::ttheme_default().

Value

A grob of a table containing statistics N, Median, and XX% CI (XX taken from fit_km).

Examples

# \donttest{
library(dplyr)
library(survival)
library(grid)

grid::grid.newpage()
grid.rect(gp = grid::gpar(lty = 1, col = "pink", fill = "gray85", lwd = 1))
tern_ex_adtte %>%
  filter(PARAMCD == "OS") %>%
  survfit(formula = Surv(AVAL, 1 - CNSR) ~ ARMCD, data = .) %>%
  h_grob_median_surv() %>%
  grid::grid.draw()
#> Warning: `h_grob_median_surv()` was deprecated in tern 0.9.4.
#> ℹ `g_km` now generates `ggplot` objects. This function is no longer used within
#>   `tern`.

# }