Nutrition_tz

Child Anthropometric Z-Score Analysis Using R

This project demonstrates the use of R and the anthro package to compute and categorize child nutritional status using WHO growth standards. The script calculates Z-scores for height-for-age (stunting) and weight-for-age (underweight), and classifies children into categories such as Severe, Moderate, Normal, and Extreme.

Key Features

• Data import and wrangling with rio, dplyr, and janitor
• Z-score computation using the anthro package
• Classification of stunting and underweight based on WHO cut-offs
• Ready for export to Excel for reporting or further analysis

Tools & Packages

• anthro – Z-score calculation based on WHO reference
• tidyverse – Data manipulation and piping
• gt, gtsummary – Table creation (optional in the script)
• rio – Easy data import/export
• case_when() – Logical condition mapping for nutritional categorization

Files

• sample.xlsx – Sample input dataset (child sex, age, length/height, weight)
• z-scores.xlsx (optional export) – Processed Z-score output
• R script – Main file containing data wrangling, analysis, and categorization