\HeaderA{egsingle}{US Sustaining Effects study}{egsingle}
\keyword{datasets}{egsingle}
\begin{Description}\relax
A subset of the mathematics scores from the U.S. Sustaining Effects
Study.  The subset consists of information on 1721 students from 60 schools
\end{Description}
\begin{Usage}
\begin{verbatim}data(egsingle)\end{verbatim}
\end{Usage}
\begin{Format}\relax
A data frame with 7230 observations on the following 12 variables.
\describe{
\item[schoolid] a factor of school identifiers
\item[childid] a factor of student identifiers
\item[year] a numeric vector indicating the year of the test
\item[grade] a numeric vector indicating the student's grade
\item[math] a numeric vector of test scores on the IRT scale score metric
\item[retained] a factor with levels \code{0} \code{1} indicating if
the student has been retained in a grade.
\item[female] a factor with levels \code{Female} \code{Male}
indicating the student's sex
\item[black] a factor with levels \code{0} \code{1} indicating if
the student is Black
\item[hispanic] a factor with levels \code{0} \code{1} indicating if
the student is Hispanic
\item[size] a numeric vector indicating the number of students
enrolled in the school
\item[lowinc] a numeric vector giving the percentage of low-income
students in the school
\item[mobility] a numeric vector
}
\end{Format}
\begin{Source}\relax
These data are distributed with the HLM software package (Bryk,
Raudenbush and Congdon, 1996).  Conversion to the R format is
described in Doran and Lockwood (2004).
\end{Source}
\begin{References}\relax
Doran, Harold C. and Lockwood, J.R. (2004), \emph{Fitting value-added
models in R}, (submitted).
\end{References}
\begin{Examples}
\begin{ExampleCode}
str(egsingle)
(fm1 <- lmer(math~year*size+female+(1|childid)+(1|schoolid), egsingle,
           control = list(EMv = 1, msV = 1)))
\end{ExampleCode}
\end{Examples}

