india: Childhood Malnutrition in India

In quantreg.nonpar: Nonparametric Series Quantile Regression

Description

Demographic and Health Survey data on childhood nutrition in India.

Usage

data(india)

Format

A data frame with 37623 observations on the following 21 variables.

cheight

child's height (centimeters); a numeric vector

cage

child's age (months); a numeric vector

breastfeeding

duration of breastfeeding (months); a numeric vector

csex

child's sex; a factor with levels male female

ctwin

whether or not child is a twin; a factor with levels single birth twin

cbirthorder

birth order of the child; a factor with levels 1 2 3 4 5

mbmi

mother's BMI (kilograms per meter squared); a numeric vector

mage

mother's age (years); a numeric vector

medu

mother's years of education; a numeric vector

edupartner

father's years of education; a numeric vector

munemployed

mother's employment status; a factor variable with levels unemployed employed

mreligion

mother's religion; a factor variable with levels christian hindu muslim other sikh

mresidence

mother's residential classification; a factor with levels urban rural

wealth

mother's relative wealth; a factor with levels poorest poorer middle richer richest

electricity

electricity access; a factor with levels no yes

radio

radio ownership; a factor with levels no yes

television

television ownership; a factor with levels no yes

refrigerator

refrigerator ownership; a factor with levels no yes

bicycle

bicycle ownership; a factor with levels no yes

motorcycle

motorcycle ownership; a factor with levels no yes

car

car ownership; a factor with levels no yes

Source

http://www.econ.uiuc.edu/~roger/research/bandaids/india.Rda

References

Koenker, R. (2011), "Additive models for quantile regression: Model selection and confidence bandaids," Brazilian Journal of Probability and Statistics 25(3), pp. 239-262.

quantreg.nonpar documentation built on May 2, 2019, 5:40 a.m.