This index is a composite consisting in the sum of thrice the sex
ratio index plus the age ratio index for males and females. This function is therefore
a wrapper to
ageSexAccuracy( Males, Females, Age, ageMin = 0, ageMax = max(Age), method = "UN", adjust = TRUE, OAG = TRUE )
numeric. A vector of demographic counts in 5-year age groups for males.
numeric. A vector of demographic counts in 5-year age groups for females.
numeric. A vector of ages corresponding to the lower integer bound of the counts.
integer. The lowest age included in calculations. Default 0.
integer. The upper age bound used for calculations. Default
logical. Whether or not to adjust the measure when population size is under one million. Default
logical. Whether or not the top age group is open. Default
The value of the index.
Age groups must be of equal intervals. Five year age groups are assumed.
If the final element of
Females is the open age group,
then either make sure
ageMax is lower than it, or leave
TRUE so that it is properly removed for calculations.
The method argument is passed to
ageRatioScore(), where it determines weightings of numerators and denominators,
except in the case of Das Gupta, where it's a different method entirely (see
United Nations (1952). “Accuracy tests for census age distributions tabulated in five-year and ten-year groups.” Population Bulletin, 59--79. Gupta AD (1955). “Accuracy index of census age distributions.” In United Nations proceedings of the World Population Conference 1954 (Rome), volume IV, 63--74. United States Census Bureau (2017). “Population Analysis System (PAS) Software.” https://www.census.gov/data/software/pas.html, https://www.census.gov/data/software/pas.html.
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) ageSexAccuracy(Males, Females, Age) # 14.3, matches PAS#>  14.30763ageSexAccuracy(Males, Females, Age, ageMax = 75)#>  14.30763ageSexAccuracy(Males, Females, Age, ageMax = 75, adjust = FALSE)#>  14.30763ageSexAccuracy(Males, Females, Age, method = "Zelnick")#>  11.78753ageSexAccuracy(Males, Females, Age, method = "Ramachandran")#>  10.52855# Das Gupta not a comparable magnitude, FYI. ageSexAccuracy(Males, Females, Age, method = "Das Gupta")#>  3.271301