Age heaping is the tendency to report children's ages to the nearest year or adults’ ages to the nearest multiple of five or ten years. Age heaping is very common. This is a major reason why data from nutritional anthropometry surveys is often analysed and reported using broad age groups.

ageHeaping(x, divisor = 12)

## Arguments

x Vector of ages Divisor (usually 5, 6, 10, or 12); default is 12

## Value

A list of class "ageHeaping" with:

 Variable Description X2 Chi-squared test statistic df Degrees of freedom or Chi-squared test p p-value for Chi-squared test tab Table of remainders (for x \%\% divisor) pct Table of proportions (\%) of remainders for x \%\% divisor)

## Examples

# Test for age heaping using SMART survey data in Kabul, Afghanistan (dp.ex02)
# using a divisor of 12
svy <- dp.ex02
ah12 <- ageHeaping(svy$age) ah12 #> #> Age-heaping Analysis #> #> data: Remainder of svy$age / 12
#> X-squared = 214.9588, df = 11, p-value = 0.0000
#>
# Test for age heaping using SMART survey data in Kabul, Afthanistan (dp.ex02)
# using a divisor of 6
ah6 <- ageHeaping(svy$age, divisor = 6) ah6 #> #> Age-heaping Analysis #> #> data: Remainder of svy$age / 6
#> X-squared = 145.0275, df = 5, p-value = 0.0000
#>