\name{aphid}
\docType{data}
\alias{aphid}
\title{Life History Data on Uroleucon rudbeckiae}
\description{
  Data on life history traits for the brown ambrosia aphid
  \emph{Uroleucon rudbeckiae}
}
\usage{aphid}
\format{
  A data frame with records for 18 insects.
  Data are already in \dQuote{long} format; no need to reshape.
   \describe{
    \item{resp}{Response vector.}
    \item{varb}{Categorical.  Gives node of graphical model corresponding
      to each component of \code{resp}.  See details below.}
    \item{root}{All ones.  Root variables for graphical model.}
    \item{id}{Categorical.  Indicates individual plants.}
  }
}
\details{
The levels of \code{varb} indicate nodes of the graphical model to which
the corresponding elements of the response vector \code{resp} belong.
This is the typical \dQuote{long} format produced by the R \code{reshape}
function.  For each individual, there are several response variables.
All response variables are combined in one vector \code{resp}.
The variable \code{varb} indicates which \dQuote{original} variable
the number was for.  The variable \code{id} indicates which individual
the number was for.  The levels of \code{varb}, which are the names
of the \dQuote{original} variables are the following.
\code{S1} through \code{S13} are Bernoulli: one if alive, zero if dead.
\code{B2} through \code{B9} are conditionally Poisson: the number of
offspring in the corresponding time period.  Some variables in the
original data that were zero have been deleted.
}
\references{
These data were published in the following, where they were analyzed
by non-aster methods.

Lenski, R.~E. and Service, P.~M. (1982).
The statistical analysis of population growth rates calculated
    from schedules of survivorship and fecunidity.
\emph{Ecology}, \bold{63}, 655-662.

}
\examples{
data(aphid)
### wide version
aphidw <- reshape(aphid, direction = "wide", timevar = "varb",
    v.names = "resp", varying = list(levels(aphid$varb)))
}
\keyword{datasets}