| india {quantreg.nonpar} | R Documentation |
Childhood Malnutrition in India
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.
cheightchild's height (centimeters); a numeric vector
cagechild's age (months); a numeric vector
breastfeedingduration of breastfeeding (months); a numeric vector
csexchild's sex; a factor with levels
malefemalectwinwhether or not child is a twin; a factor with levels
single birthtwincbirthorderbirth order of the child; a factor with levels
12345mbmimother's BMI (kilograms per meter squared); a numeric vector
magemother's age (years); a numeric vector
medumother's years of education; a numeric vector
edupartnerfather's years of education; a numeric vector
munemployedmother's employment status; a factor variable with levels
unemployedemployedmreligionmother's religion; a factor variable with levels
christianhindumuslimothersikhmresidencemother's residential classification; a factor with levels
urbanruralwealthmother's relative wealth; a factor with levels
poorestpoorermiddlericherrichestelectricityelectricity access; a factor with levels
noyesradioradio ownership; a factor with levels
noyestelevisiontelevision ownership; a factor with levels
noyesrefrigeratorrefrigerator ownership; a factor with levels
noyesbicyclebicycle ownership; a factor with levels
noyesmotorcyclemotorcycle ownership; a factor with levels
noyescarcar ownership; a factor with levels
noyes
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.