panel.contour | R Documentation |
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, ...)
x,y |
Coordinates of points in a scatterplot. |
... |
Extra graphics arguments, passed to |
sigma |
Bandwidth of kernel smoother, on a scale where x and y range between 0 and 1. |
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.
Null.
.
pairs.im
,
pairs.default
,
panel.smooth
pairs(bei.extra, panel = panel.contour, diag.panel = panel.histogram) with(bei.extra, pairs(grad, elev, panel = panel.image, diag.panel = panel.histogram)) pairs(marks(finpines), panel=panel.contour, diag.panel=panel.histogram)
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