Using the digit-specific modified Whipple's index, this index summarizes all age preference and avoidance effects by taking the sum of the absolute differences between digit-specific Whipple's index and 1 (counting all differences as positive).

check_heaping_spoorenberg(Value, Age, ageMin = 20, ageMax = 64)

Value | numeric. A vector of demographic counts by single age. |
---|---|

Age | numeric. A vector of ages corresponding to the lower integer bound of the counts. |

ageMin | integer. The lowest age included in calculations. Default 25. |

ageMax | integer. The upper age bound used for calculations. Default 65. |

The value of the index.

`ageMin`

and `ageMax`

are applied to numerator ages, not denominators. Denominators are always 5-year age groups centered on the digit in question, and these therefore stretch into ages a bit higher or lower than the numerator ages. `ageMax`

is an inclusive upper bound, treated as interval. If you want ages 20 to 64, then give `ageMin = 20`

and `ageMax = 64`

, not 65.

Spoorenberg T, Dutreuilh C (2007).
“Quality of age reporting: extension and application of the modified Whipple's index.”
*Population*, **62**(4), 729--741.

Age <- 0:99 check_heaping_spoorenberg(pop1m_pasex, Age)#> [1] 5.066123