lyl_2plot | R Documentation |
lyl_2plot
was used to create a figure of Life Years Lost
at one specific age for two different populations. Please use
lyl_compare_plot
instead.
lyl_2plot(
x,
y,
color_alive = NA,
colors = NA,
labels = c("Population of interest", "Reference population"),
...
)
x |
An object of class |
y |
An object of class |
color_alive |
Color to be used for the censoring category. Default is NA, and default color is "white". |
colors |
Vector with one color for each cause of death. Default is NA, and default colors are used. |
labels |
Vector with labels for the two populations (default are "Population of
interest" for |
... |
Additional arguments affecting the plot produced. |
A plot with survival function and stacked cause-specific cumulative incidences for two populations side by side.
Plana-Ripoll et al. lillies – An R package for the estimation of excess Life Years Lost among patients with a given disease or condition. PLoS ONE. 2020;15(3):e0228073.
lyl
for estimation of Life Years Lost at one specific age.
lyl_diff
to compare Life Years Lost for two populations.
# Load simulated data as example
data(simu_data)
# Estimate remaining life expectancy and Life Years
# Lost after age 45 years and before age 95 years
lyl_estimation <- lyl(data = simu_data, t = age_death, status = cause_death,
age_specific = 45, tau = 95)
# Same estimate for those with a specific disease
diseased <- simu_data[!is.na(simu_data$age_disease), ]
lyl_estimation1 <- lyl(data = diseased, t0 = age_disease,
t = age_death, status = cause_death,
age_specific = 45, tau = 95)
# Plot the data
lyl_compare_plot(list(lyl_estimation1, lyl_estimation))
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