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.
panel.contour(x, y, ..., sigma = NULL)panel.image(x, y, ..., sigma = NULL)
panel.histogram(x, ...)
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.
Bandwidth of kernel smoother, on a scale where
Null.
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.
# NOT RUN {
with(bei.extra,
pairs(grad, elev,
panel = panel.contour,
diag.panel = panel.histogram))
# }
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