collapse_ages: Collapse upper ages into a single age group. Counts are...

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

Collapse upper ages into a single age group. Counts are summed while rates are recomputed where possible.

Description

Collapse upper ages into a single age group. Counts are summed while rates are recomputed where possible.

Usage

collapse_ages(.data, max_age = 100)

Arguments

.data	A vital object including an age variable
max_age	Maximum age to include in the collapsed age group.

Details

If the object includes deaths, population and mortality rates, then deaths and population are summed and mortality rates are recomputed as deaths/population. But if the object contains mortality rates but not deaths and population, then the last rate remains unchanged (and a warning is generated).

Value

A vital object with the same variables as .data, but with the upper ages collapsed into a single age group.

Author(s)

Rob J Hyndman

Examples

aus_mortality |>
 dplyr::filter(State == "Victoria", Sex == "female") |>
 collapse_ages(max_age = 85)

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