ageRatioScore: Calculate the PAS age ratio score

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

Calculate the PAS age ratio score

Description

A single ratio is defined as the 100 times twice the size of an age group to its neighboring two age groups. Under uniformity these would all be 100. The average absolute deviation from 100 defines this index. This comes from the PAS spreadsheet called AGESEX

Usage

ageRatioScore(
  Value,
  Age,
  ageMin = 0,
  ageMax = max(Age),
  method = "UN",
  OAG = TRUE
)

Arguments

Value	numeric. A vector of demographic counts in 5-year age groups.
Age	numeric. A vector of ages corresponding to the lower integer bound of the counts.
ageMin	integer. The lowest age included in calculations. Default 0.
ageMax	integer. The upper age bound used for calculations. Default max(Age).
method	character. Either "UN" (default), "Zelnick", or "Ramachandran"
OAG	logical. Whether or not the top age group is open. Default TRUE.

Details

Age groups must be of equal intervals. Five year age groups are assumed. It is also assumed that the final age group is open, unless ageMax < max(Age). Setting OAG = FALSE will override this and potentially include max(Age) in calculations. The method argument determines the weighting of numerators and denominators, where the UN method puts twice the numerator over the sum of the adjacent ages classes, Zelnik does thrice the numerator over the sum of the whole range from the next lowest to the next highest age, and Ramachandran does four times the numerator over the same sum, but with the central age double-counted in the numerator.

Value

The value of the index.

References

\insertRef

accuracyun1952DemoTools \insertReframachandran1967DemoTools \insertRefPASDemoTools

Examples

# data from PAS spreadsheet AGESEX.xlsx
Males   <- c(4677000,4135000,3825000,3647000,3247000,2802000,2409000,2212000,
		1786000,1505000,1390000,984000,745000,537000,346000,335000)
Females <- c(4544000,4042000,3735000,3647000,3309000,2793000,2353000,2112000,
		1691000,1409000,1241000,887000,697000,525000,348000,366000)
Age     <- seq(0, 75, by = 5)

ageRatioScore(Males, Age, ageMax = 75)    # 3.9, matches PAS
ageRatioScore(Females, Age, ageMax = 75)  # 3.66 matches PAS
ageRatioScore(Females, Age, ageMax = 75, method = "Ramachandran") # 1.8
ageRatioScore(Females, Age, ageMax = 75, method = "Zelnick")      # 2.4

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