life_table: Compute period lifetables from age-specific mortality rates

In vital: Tidy Analysis Tools for Mortality, Fertility, Migration and Population Data

Compute period lifetables from age-specific mortality rates

Description

All available years and ages are included in the tables. $qx = mx/(1 + ((1-ax) * mx))$ as per Chiang (1984). Warning: the code has only been tested for data based on single-year age groups.

Usage

life_table(.data, mortality)

Arguments

.data	A vital including an age variable and a variable containing mortality rates.
mortality	Variable in .data containing Mortality rates (mx). If omitted, the variable with name mx, Mortality or Rate will be used (not case sensitive).

Value

A vital object containing the index, keys, and the new life table variables mx, qx, lx, dx, Lx, Tx and ex.

Author(s)

Rob J Hyndman

References

Chiang CL. (1984) The life table and its applications. Robert E Krieger Publishing Company: Malabar.

Keyfitz, N, and Caswell, H. (2005) Applied mathematical demography, Springer-Verlag: New York.

Preston, S.H., Heuveline, P., and Guillot, M. (2001) Demography: measuring and modeling population processes. Blackwell

Examples

# Compute Victorian life table for females in 2003
aus_mortality |>
  dplyr::filter(Code == "VIC", Sex == "female", Year == 2003) |>
  life_table()

vital documentation built on June 22, 2024, 9:56 a.m.