Whipple's index | R Documentation |

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

```
heaping(x, a, b)
```

`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. |

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).

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

Muhammad Imran

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

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`

```
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)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.