Plot chance alive by age — plot_chance

Plots conditional survival curves produced by chance_alive(). The most recent year is highlighted in black; earlier years are shown with a teal-to-orange-to-light gradient. Horizontal reference lines mark 10% and 5% survival levels.

Usage

plot_chance_alive(ca, sex = c("m", "f"), population)

Arguments

ca: A tibble as returned by chance_alive(), with columns Year, Age, and chance_alive.
sex: Sex code: "m" (male) or "f" (female). Used for labeling.
population: Population label/code to display in the subtitle (e.g. "BGR", "USA", "DEUTNP").

Value

A ggplot object.

Examples

if (FALSE) { # \dontrun{
lt_m <- read_life_table(file.path("data", "life"), sex = "m", look_back = 10)
ca <- chance_alive(lt_m, pop_name = "BGR", age0 = 27)
p <- plot_chance_alive(ca, sex = "m", population = "BGR")
p
} # }