plot.lyl_ci | R Documentation |
plot
for objects of class lyl_ci
creates a figure of the bootstrapped Life Years Lost
to examine if the number of iterations is enough.
## S3 method for class 'lyl_ci'
plot(x, level = 0.95, weights, ...)
x |
An object of class |
level |
Confidence level (default is 0.95 for 95% confidence intervals) |
weights |
Vector with age distribution of disease/condition onset to be used when Life Years Lost are estimated
over a range of ages (with |
... |
Additional arguments affecting the plot produced. |
A plot with the evolution of bootstrapped parameters.
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_range
for estimation of Life Years Lost for a range of different ages.
lyl
for estimation of Life Years Lost at one specific age.
lyl_ci
to estimate bootstrapped confidence intervals.
# 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 = death,
age_specific = 45, tau = 95)
# Calculate bootstrapped confidence interval (10 iterations to test)
lyl_estimation_ci <- lyl_ci(lyl_estimation, niter = 10)
plot(lyl_estimation_ci)
# Estimate remaining life expectancy and Life Years
# Lost after each age from 0 to 94 years and before age 95 years
lyl_estimation2 <- lyl_range(data = simu_data, t = age_death, status = death,
age_begin = 0, age_end = 94, tau = 95)
# Calculate bootstrapped confidence interval
lyl_estimation_ci2 <- lyl_ci(lyl_estimation2)
plot(lyl_estimation_ci2, weights = simu_data$age_disease)
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