check_heaping_myers: Calculate Myer's blended index of age heaping

In timriffe/DemoTools: Standardize, Evaluate, and Adjust Demographic Data

Calculate Myer's blended index of age heaping

Description

Implementation following the PASEX spreadsheet SINGAGE. Myers' measures preferences for each of the ten possible digits as a blended index. It is based on the principle that in the absence of age heaping, the aggregate population of each age ending in one of the digits 0 to 9 should represent 10 percent of the total population.

Usage

check_heaping_myers(
  Value,
  Age,
  ageMin = 23,
  ageMax = 82,
  details = FALSE,
  method = "orig"
)

Arguments

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 82.
details	logical. Default FALSE. If TRUE, then a list is returned with some relevant parameters.
method	either "orig" or "pasex"

Details

ageMax is an inclusive upper bound, treated as interval. If you want ages 23 to 82, then give ageMin = 23 and ageMax = 82, not 83 ageMax may be internally rounded down if necessary so that ageMax - ageMin + 1 is evenly divisible by 10. If in doubt, specify details = TRUE, and you can check which ageMax is actually used internally.

Value

The value of the index.

References

\insertRef

myers1954accuracyDemoTools \insertRefspoorenberg2007qualityDemoTools \insertRefPASDemoTools

Examples

Age <- 0:99
check_heaping_myers(pop1m_pasex, Age, 10, 89)
check_heaping_myers(pop1m_pasex, Age, 10, 89, method = "pasex") * 2
# pasex 10-89. result: ___ from spreadsheet
check_heaping_myers(pop1m_pasex, Age, 23, 82)
check_heaping_bachi(pop1m_pasex, Age, 23, 82, method = "orig")
check_heaping_bachi(pop1m_pasex, Age, 23, 82, method = "pasex")

timriffe/DemoTools documentation built on Oct. 14, 2024, 12:53 p.m.