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\name{Contraception}
\alias{Contraception}
\docType{data}
\title{Contraceptive use in Bangladesh}
\description{
These data on the use of contraception by women in urban and rural
areas come from the 1988 Bangladesh Fertility Survey.
}
\usage{data(Contraception)}
\format{
A data frame with 1934 observations on the following 6 variables.
\describe{
\item{woman}{Identifying code for each woman - a factor}
\item{district}{Identifying code for each district - a factor}
\item{use}{Contraceptive use at time of survey}
\item{livch}{Number of living children at time of survey - an
ordered factor. Levels are \code{0}, \code{1}, \code{2}, \code{3+}}
\item{age}{Age of woman at time of survey (in years), centred around
mean.}
\item{urban}{Type of region of residence - a factor. Levels are
\code{urban} and \code{rural}}
}
}
%\details{}
\source{
\url{http://www.bristol.ac.uk/cmm/learning/mmsoftware/data-rev.html}
}
\references{
Steele, F., Diamond, I. And Amin, S. (1996). Immunization uptake in
rural Bangladesh: a multilevel analysis. \emph{Journal of the Royal
Statistical Society, Series A} (159): 289-299.
}
\examples{
str(Contraception)
summary(Contraception)
(fm1 <- glmer(use ~ urban+age+livch+(1|district), Contraception, binomial))
(fm2 <- glmer(use ~ urban+age+livch+(urban|district), Contraception, binomial))
}
\keyword{datasets}
|
