india: Malnutrition of Children in India (DHS, 1998-99)

indiaR Documentation

Malnutrition of Children in India (DHS, 1998-99)

Description

Data sample from the Standard Demographic and Health Survey, 1998-99, on malnutrition of children in India. The data set contains approximately 12% of the observations in the original data set and only a (very small) subset of variables. Additionally, a boundary file representing the districts of India is provided for spatial analysis.

Usage

data(india)
data(india.bnd)

Format

A data frame with 4000 observations on the following 6 variables:

stunting

A numeric z-score for malnutrition, stunted growth to be more precise, which ranges from -6 to 6, where negative values represent malnourished children. Children with values below -2 are considered stunted (height-for-age).

cbmi

BMI of the child.

cage

Age of the child in months.

mbmi

BMI of the mother.

mage

Age of the mother in years.

mcdist

The district in India, where mother and child live. A factor encoded to match the map india.bnd.

mcdist_lab

The district in India, where mother and child live. A factor with actual district names.

Details

For details on the boundary file see function read.bnd from package BayesX.

Source

The complete data set is provided by the Monitoring and Evaluation to Assess and Use Results Demographic and Health Surveys (MEASURE DHS) which is funded by the U.S. Agency of International Development (USAID). It can be obtained for research purposes (after registration) from http://www.measuredhs.com/what-we-do/survey/survey-display-156.cfm (Data set for All-India, Children's Recode: iakr42dt.zip)

References

For details on the data set see also:

Fahrmeir L and Kneib T (2011), Bayesian smoothing and regression for longitudinal, spatial and event history data, Oxford University Press.

Examples

if (require("BayesX")) {
  ## plot distribution of stunting in India
  drawmap(india, map = india.bnd, regionvar = "mcdist", plotvar = "stunting")
}

gamboostLSS documentation built on March 31, 2023, 9:35 p.m.