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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