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\name{match.data}
\alias{match.data}
\title{Output Matched Data Sets}
\description{\code{match.data} outputs matched data sets from
\code{matchit()}.
}
\usage{
match.data <- match.data(object, group="all", distance = "distance",
weights = "weights", subclass = "subclass")
}
\arguments{
\item{object}{The output object from \code{matchit}. This is
a required input.}
\item{group}{This argument specifies for which matched group the user
wants to extract the data. Available options are \code{"all"} (all
matched units), \code{"treat"} (matched units in the treatment
group), and \code{"control"} (matched units in the control
group). The default is \code{"all"}.}
\item{distance}{This argument specifies the variable name used to
store the distance measure. The default is \code{"distance"}.}
\item{weights}{This argument specifies the variable name used to store
the resulting weights from matching. The default is \code{"weights"}.}
\item{subclass}{This argument specifies the variable name used to store the
subclass indicator. The default is \code{"subclass"}.}
}
\value{
Returns a subset of the original data set sent to
\code{matchit()}, with just the matched units. The data set also
contains the additional variables \code{distance}, \code{weights},
and \code{subclass}. The variable \code{distance} gives
the estimated distance measure, and \code{weights} gives the
weights for each unit, generated in the matching procedure.
The variable \code{subclass} gives the subclass
index for each unit (if applicable).
See the \url{http://gking.harvard.edu/matchit/} for the complete
documentation and type \code{demo(match.data)} at the R prompt to
see a demonstration of the code.
}
\seealso{Please use \code{help.matchit} to access the matchit reference
manual. The complete document is available online at
\url{http://gking.harvard.edu/matchit}.}
\author{
Daniel Ho \email{daniel.ho@yale.edu}; Kosuke Imai
\email{kimai@princeton.edu}; Gary King
\email{king@harvard.edu}; Elizabeth Stuart \email{estuart@jhsph.edu}
}
\keyword{methods}
|
