# WI: Whipple's index calculation for reproductive-age females In dhsage: Reproductive Age Female Data of Various Demographic Health Surveys

 Whipple's index R Documentation

## Whipple's index calculation for reproductive-age females

### Description

The function provides the Whipple's index of females 15 to 49 years old who are in reproductive age with data quality.

### Usage

heaping(x, a, b)


### Arguments

 x a data vector of females, aged 15 to 49 year. a Choose the starting age for the calculation of Whipple's index. b Choose the ending age for the calculation of Whipple's index.

### Details

Whipple's indes can be computed by the following formula

WI=\left(\frac{P_{25}+P_{30}+P_{35}+\cdots\cdots+P_{60}}{P_{23}+P_{24}+P_{25}+\cdots\cdots+P_{62}}\right)\times500

where P represents the population of reported age in completed year. There are 5 categories for the index value, ranging from very rough to highly accurate. Data is classified as being very rough (if WI > 175), rough (125 < WI < 175), approximate (110 < WI < 125), accurate (105 < WI < 110) and highly accurate (WI < 105).

### Value

heaping computes the Whipple's index with the quality of age reporting.

### Author(s)

R implementation and documentation: Muhammad Imran imranshakoor84@yahoo.com.

### References

Yadav, A., Vishwakarma, M., and Chauhan, S. (2020). The quality of age data: Comparison between two recent Indian censuses 2001–2011. Clinical Epidemiology and Global Health, 8(2), 371-376.

afgan_2015, india_2015

### Examples

x <- armen_2015
# starting age 23 and ending age 62
heaping(x, 23, 62)
# starting age 15 and ending age 49
heaping(x, 23, 62)


dhsage documentation built on Oct. 5, 2023, 5:09 p.m.