| panel.superpose {lattice} | R Documentation |
This is an useful panel function for trellis displays. Uses a grouping
variable, plotting the x (and y where appropriate)
variables with different graphical properties for each distinct value
of the grouping variable.
panel.superpose(x, y, panel.groups = "panel.xyplot", subscripts, groups, type="p", ...) panel.superpose.2(x, y, subscripts, groups, type="p", ...)
x,y |
coordinates of the points to be displayed |
panel.groups |
the panel function to be used for each group of
points. Defaults to panel.xyplot (behaviour in S) |
subscripts |
subscripts giving indices in original data frame |
groups |
a grouping variable. Different graphical parameters
will be used to plot the subsets of observations given by each
distinct value of groups. The default graphical parameters
are obtained from superpose.symbol and superpose.line
using trellis.par.get wherever appropriate
|
type |
character vector specifying what should be drawn for each
group. See panel.xyplot for details of what the values
can be. This is meaningful for panel.superpose only when
panel.groups is panel.xyplot.
The 2 functions panel.superpose (with panel.xyplot)
and panel.superpose.2 differ only in the way the type
argument is interpreted. For the former, the interpretation is the
same as for panel.xyplot for each of the unique groups. For
the latter, the type vector is replicated to be as long as
the number of unique values in groups, and the points
corresponding to the different groups are plotted according to the
corresponding type.
See xyplot documentation for an example.
|
... |
other arguments (mostly graphical parameters, replicated
to be as long as the number of groups), ultimately passed down to
panel.xyplot. In particular, colour can be specified using 3
arguments (col, col.line, col.symbol), as in
panel.xyplot.
|
Deepayan Sarkar deepayan@stat.wisc.edu
(panel.superpose.2 contributed by Neil Klepeis)
Different functions when used as panel.groups gives different
types of plots, for example panel.xyplot,
panel.dotplot and panel.linejoin (This can
be used to produce interaction plots).