Plot an nfnGroupedData Object
A Trellis plot of the response versus the primary covariate is
generated. If outer variables are specified, the combination of their
levels are used to determine the panels of the Trellis
display. Otherwise, the levels of the grouping variable determine the
panels. A scatter plot of the response versus the primary covariate is
displayed in each panel, with observations corresponding to same
inner group joined by line segments. The Trellis function
xyplot
is used.
## S3 method for class 'nfnGroupedData' plot(x, outer, inner, innerGroups, xlab, ylab, strip, aspect, panel, key, grid, ...)
x |
an object inheriting from class |
outer |
an optional logical value or one-sided formula,
indicating covariates that are outer to the grouping factor, which
are used to determine the panels of the Trellis plot. If
equal to |
inner |
an optional logical value or one-sided formula, indicating
a covariate that is inner to the grouping factor, which is used to
associate points within each panel of the Trellis plot. If
equal to |
innerGroups |
an optional one-sided formula specifying a factor
to be used for grouping the levels of the |
xlab, ylab |
optional character strings with the labels for the
plot. Default is the corresponding elements of |
strip |
an optional function passed as the |
aspect |
an optional character string indicating the aspect ratio
for the plot passed as the |
panel |
an optional function used to generate the individual
panels in the Trellis display, passed as the |
key |
an optional logical function or function. If |
grid |
an optional logical value indicating whether a grid should
be added to plot. Default is |
... |
optional arguments passed to the |
a Trellis plot of the response versus the primary covariate.
José Pinheiro and Douglas Bates bates@stat.wisc.edu
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.
# different panels per Subject plot(Orthodont) # different panels per gender plot(Orthodont, outer = TRUE)
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