flag.ex02

Anthropometric data from a survey of children 11 years or older attending
school in Ethiopia.

datasets

An implementation of the National Information Platforms for
Nutrition or NiPN's analytic methods for assessing quality of anthropometric
datasets that include measurements of weight, height or length, middle upper
arm circumference, sex and age. The focus is on anthropometric status but
many of the presented methods could be applied to other variables.

Ernest Guevarra

nipnTK

National Information Platforms for Nutrition Anthropometric Data
Toolkit

Mark Myatt

flag.ex02 function

A data.frame with 973 observations and 7 variables.<table class="table">
<tr><td>Variable</td><td>Description</td></tr>
<tr><td>school</td><td>School ID</td></tr>
<tr><td>sex</td><td>Gender (1 = Male / 2 = Female)</td></tr>
<tr><td>ageMonths</td><td>Age (months)</td></tr>
<tr><td>weight</td><td>Weight (kg)</td></tr>
<tr><td>height</td><td>Height (cm)</td></tr>
<tr><td>haz</td><td>Height-for-age z-score</td></tr>
<tr><td>baz</td><td>Body mass index (BMI)-for-age z-score</td></tr>
</table>

Format

Example dataset for identifying outliers using flags — flag.ex02

A data.frame with 973 observations and 7 variables.<table class='table'>
<tr><td>Variable</td><td>Description</td></tr>
<tr><td>school</td><td>School ID</td></tr>
<tr><td>sex</td><td>Gender (1 = Male / 2 = Female)</td></tr>
<tr><td>ageMonths</td><td>Age (months)</td></tr>
<tr><td>weight</td><td>Weight (kg)</td></tr>
<tr><td>height</td><td>Height (cm)</td></tr>
<tr><td>haz</td><td>Height-for-age z-score</td></tr>
<tr><td>baz</td><td>Body mass index (BMI)-for-age z-score</td></tr>
</table>

Variable	Description
school	School ID
sex	Gender (1 = Male / 2 = Female)
ageMonths	Age (months)
weight	Weight (kg)
height	Height (cm)
haz	Height-for-age z-score
baz	Body mass index (BMI)-for-age z-score

flag.ex02: Example dataset for identifying outliers using flags

Description

Usage

Arguments

Format