Data sample from a 'Demographic and Health Survey' about malnutrition of children in india. Data set only contains 1/10 of the observations and some basic variables to enable first analyses.
A data frame with 4000 observations on the following 6 variables.
A numeric malnutrition score with range (-600;600).
BMI of the child.
Age of the child in months.
BMI of the mother.
Age of the mother in years.
The distict in India, where the child lives. Encoded in the region naming
of the map
Fenske N and Kneib T and Hothorn T (2009) Identifying Risk Factors for Severe Childhood Malnutrition by Boosting Additive Quantile Regression Technical Report 052, University of Munich
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Loading required package: parallel Loading required package: mboost Loading required package: stabs This is mboost 2.9-1. See 'package?mboost' and 'news(package = "mboost")' for a complete list of changes. Loading required package: BayesX Loading required package: shapefiles Loading required package: foreign Attaching package: 'shapefiles' The following objects are masked from 'package:foreign': read.dbf, write.dbf Note: Function plotsurf depends on akima which has a restricted licence that explicitly forbids commercial use. akima is therefore disabled by default and may be enabled by akimaPermit(). Calling this function includes your agreement to akima`s licence restrictions.
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