# plot.lyl_ci

From lillies v0.2.4
by Oleguer Plana-Ripoll

##### Plot evolution of bootstrapped parameters for Life Years Lost

`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.

##### Usage

```
# S3 method for lyl_ci
plot(x, level = 0.95, weights, ...)
```

##### Arguments

- x
An object of class

`lyl_ci`

(obtained with function`lyl_ci`

).- 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

`lyl_range`

function).- ...
Additional arguments affecting the plot produced.

##### Value

A plot with the evolution of bootstrapped parameters.

##### See Also

`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.

##### Examples

```
# NOT RUN {
# 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)
# }
# NOT RUN {
# 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)
# }
```

*Documentation reproduced from package lillies, version 0.2.4, License: MIT + file LICENSE*

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