% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/data-ncbirths.R
\docType{data}
\name{ncbirths}
\alias{ncbirths}
\title{North Carolina births, 1000 cases}
\format{
A data frame with 1000 observations on the following 13 variables.
\describe{
\item{fage}{Father's age in years.}
\item{mage}{Mother's age in years.}
\item{mature}{Maturity status of mother.}
\item{weeks}{Length of pregnancy in weeks.}
\item{premie}{Whether the birth was classified as premature (premie) or full-term.}
\item{visits}{Number of hospital visits during pregnancy.}
\item{gained}{Weight gained by mother during pregnancy in pounds.}
\item{weight}{Weight of the baby at birth in pounds.}
\item{lowbirthweight}{Whether baby was classified as low birthweight
(\code{low}) or not (\code{not low}).}
\item{gender}{Gender of the baby, \code{female} or \code{male}.}
\item{habit}{Status of the mother as a \code{nonsmoker} or a \code{smoker}.}
\item{marital}{Whether mother is \code{married} or \code{not married} at birth.}
\item{whitemom}{Whether mom is \code{white} or \code{not white}.}
}
}
\usage{
ncbirths
}
\description{
In 2004, the state of North Carolina released to the public a large dataset
containing information on births recorded in this state. This dataset has
been of interest to medical researchers who are studying the relation
between habits and practices of expectant mothers and the birth of their
children. This is a random sample of 1,000 cases from this dataset.
}
\examples{

library(ggplot2)

ggplot(ncbirths, aes(x = habit, y = weight)) +
  geom_boxplot() +
  labs(x = "Smoking status of mother", y = "Birth weight of baby (in lbs)")

ggplot(ncbirths, aes(x = whitemom, y = visits)) +
  geom_boxplot() +
  labs(x = "Mother's race", y = "Number of doctor visits during pregnancy")

ggplot(ncbirths, aes(x = mature, y = gained)) +
  geom_boxplot() +
  labs(x = "Mother's age category", y = "Weight gained during pregnancy")
}
\seealso{
We do not have ideal provenance for these data. For a better
documented and more recent dataset on a similar topic with similar variables,
see \link{births14}.
}
\keyword{datasets}
