panel.contour:
Panel Plots using Colour Image or Contour Lines
Description
These functions can be passed to pairs or
coplot
to determine what kind of plotting is done in each panel
of a multi-panel graphical display.
Usage
panel.contour(x, y, ..., sigma = NULL)
panel.image(x, y, ..., sigma = NULL)
panel.histogram(x, ...)
Arguments
x,y
Coordinates of points in a scatterplot.
...
Extra graphics arguments, passed to contour.im,
plot.im or rect, respectively,
to control the appearance of the panel.
sigma
Bandwidth of kernel smoother, on a scale where
$x$ and $y$ range between 0 and 1.
Value
Null.
Details
These functions can serve as one of the arguments panel,
lower.panel, upper.panel, diag.panel
passed to graphics commands like
pairs or coplot,
to determine what kind of plotting is done in each panel
of a multi-panel graphical display. In particular they work
with pairs.im.
The functions panel.contour and panel.contour
are suitable for the off-diagonal plots which involve
two datasets x and y.
They first rescale x and y to the unit square,
then apply kernel smoothing with bandwidth sigma
using density.ppp.
Then panel.contour draws a contour plot
while panel.image draws a colour image.
The function panel.histogram is suitable for the
diagonal plots which involve a single dataset x.
It displays a histogram of the data.