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% File nlme/man/plot.nmGroupedData.Rd
% Part of the nlme package for R
% Distributed under GPL 2 or later: see nlme/LICENCE.note
\name{plot.nmGroupedData}
\title{Plot an nmGroupedData Object}
\usage{
\method{plot}{nmGroupedData}(x, collapseLevel, displayLevel, outer, inner,
preserve, FUN, subset, key, grid, \dots)
}
\alias{plot.nmGroupedData}
\arguments{
\item{x}{an object inheriting from class \code{nmGroupedData},
representing a \code{groupedData} object with multiple grouping
factors.
}
\item{collapseLevel}{an optional positive integer or character string
indicating the grouping level to use when collapsing the data. Level
values increase from outermost to innermost grouping. Default is the
highest or innermost level of grouping.
}
\item{displayLevel}{an optional positive integer or character string
indicating the grouping level to use for determining the panels in
the Trellis display, when \code{outer} is missing. Default is
\code{collapseLevel}.
}
\item{outer}{an optional logical value or one-sided formula,
indicating covariates that are outer to the \code{displayLevel}
grouping factor, which are used to determine the panels of the
Trellis plot. If equal to \code{TRUE}, the \code{displayLevel}
element \code{attr(object, "outer")} is used to indicate the
outer covariates. An outer covariate is invariant within the sets
of rows defined by the grouping factor. Ordering of the groups is
done in such a way as to preserve adjacency of groups with the same
value of the outer variables. Defaults to \code{NULL}, meaning that
no outer covariates are to be used.
}
\item{inner}{an optional logical value or one-sided formula, indicating
a covariate that is inner to the \code{displayLevel} grouping factor,
which is used to associate points within each panel of the Trellis
plot. If equal to \code{TRUE}, \code{attr(object, "outer")} is used
to indicate the inner covariate. An inner covariate can change within
the sets of rows defined by the grouping factor. Defaults to
\code{NULL}, meaning that no inner covariate is present.
}
\item{preserve}{an optional one-sided formula indicating a covariate
whose levels should be preserved when collapsing the data according
to the \code{collapseLevel} grouping factor. The collapsing factor is
obtained by pasting together the levels of the \code{collapseLevel}
grouping factor and the values of the covariate to be
preserved. Default is \code{NULL}, meaning that no covariates need to
be preserved.
}
\item{FUN}{an optional summary function or a list of summary functions
to be used for collapsing the data. The function or functions are
applied only to variables in \code{object} that vary within the
groups defined by \code{collapseLevel}. Invariant variables are
always summarized by group using the unique value that they assume
within that group. If \code{FUN} is a single
function it will be applied to each non-invariant variable by group
to produce the summary for that variable. If \code{FUN} is a list of
functions, the names in the list should designate classes of
variables in the data such as \code{ordered}, \code{factor}, or
\code{numeric}. The indicated function will be applied to any
non-invariant variables of that class. The default functions to be
used are \code{mean} for numeric factors, and \code{Mode} for both
\code{factor} and \code{ordered}. The \code{Mode} function, defined
internally in \code{gsummary}, returns the modal or most popular
value of the variable. It is different from the \code{mode} function
that returns the S-language mode of the variable.}
\item{subset}{an optional named list. Names can be either positive
integers representing grouping levels, or names of grouping
factors. Each element in the list is a vector indicating the levels
of the corresponding grouping factor to be used for plotting the
data. Default is \code{NULL}, meaning that all levels are
used.}
\item{key}{an optional logical value, or list. If \code{TRUE}, a legend
is included at the top of the plot indicating which symbols (colors)
correspond to which prediction levels. If \code{FALSE}, no legend
is included. If given as a list, \code{key} is passed down as an
argument to the \code{trellis} function generating the plots
(\code{xyplot}). Defaults to \code{TRUE}.}
\item{grid}{an optional logical value indicating whether a grid should
be added to plot. Default is \code{TRUE}.}
\item{\dots}{optional arguments passed to the Trellis plot function.}
}
\description{
The \code{groupedData} object is summarized by the values of the
\code{displayLevel} grouping factor (or the combination of its values
and the values of the covariate indicated in \code{preserve}, if any is
present). The collapsed data is used to produce a new
\code{groupedData} object, with grouping factor given by the
\code{displayLevel} factor, which is plotted using the
appropriate \code{plot} method for \code{groupedData} objects with
single level of grouping.
}
\value{
a Trellis display of the data collapsed over the values of the
\code{collapseLevel} grouping factor and grouped according to the
\code{displayLevel} grouping factor.
}
\references{
Bates, D.M. and Pinheiro, J.C. (1997), "Software Design for Longitudinal
Data", in "Modelling Longitudinal and Spatially Correlated Data:
Methods, Applications and Future Directions", T.G. Gregoire (ed.),
Springer-Verlag, New York.
}
\author{José Pinheiro and Douglas Bates \email{bates@stat.wisc.edu}}
\seealso{\code{\link{groupedData}}, \code{\link{collapse.groupedData}},
\code{\link{plot.nfnGroupedData}}, \code{\link{plot.nffGroupedData}}
}
\examples{
# no collapsing, panels by Dog
plot(Pixel, displayLevel = "Dog", inner = ~Side)
# collapsing by Dog, preserving day
plot(Pixel, collapseLevel = "Dog", preserve = ~day)
}
\keyword{models}
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