Age Ratio Test is an age-related test of survey and data quality.

ageRatioTest(x, ratio = 0.85)

Arguments

x

Numeric vector (age)

ratio

Expected age ratio

Value

A lit of class "ageRatioTest" with:

VariableDescription
expectedRExpected sex ratio
expectedPExpected proportion aged 6:29 months
observedRObserved sex ratio
observedPObserved proportion aged 6:29 months
X2Chi-squared test statistic
dfDegrees of freedom for Chi-squared test
pp-value for Chi-squared test

Examples

# Age-ratio test on survey dataset from Kabul, Afghanistan (dp.ex02) # with an age ratio of 0.85 svy <- dp.ex02 ageRatioTest(svy$age, ratio = 0.85)
#> #> Age Ratio Test (children's data) #> #> Expected age ratio = 0.8500 #> Expected proportion aged 6 - 29 months = 0.4595 #> #> Observed age ratio = 0.8654 #> Observed proportion aged 6 - 29 months = 0.4639 #> #> X-squared = 0.0531, p = 0.8178 #>
# The age ratio test applied to data for each sex separately by(svy$age, svy$sex, ageRatioTest, ratio = 0.85)
#> svy$sex: 1 #> #> Age Ratio Test (children's data) #> #> Expected age ratio = 0.8500 #> Expected proportion aged 6 - 29 months = 0.4595 #> #> Observed age ratio = 0.8638 #> Observed proportion aged 6 - 29 months = 0.4635 #> #> X-squared = 0.0145, p = 0.9041 #> #> ------------------------------------------------------------ #> svy$sex: 2 #> #> Age Ratio Test (children's data) #> #> Expected age ratio = 0.8500 #> Expected proportion aged 6 - 29 months = 0.4595 #> #> Observed age ratio = 0.8670 #> Observed proportion aged 6 - 29 months = 0.4644 #> #> X-squared = 0.0247, p = 0.8750 #>