plot.plotppm {spatstat.model} | R Documentation |
Plot a plotppm Object Created by plot.ppm
Description
The function plot.ppm produces objects which specify plots of fitted point process models. The function plot.plotppm carries out the actual plotting of these objects.
Usage
## S3 method for class 'plotppm'
plot(x, data = NULL, trend = TRUE, cif = TRUE,
se = TRUE, pause = interactive(),
how = c("persp", "image", "contour"),
..., pppargs)
Arguments
x |
An object of class |
.
data |
The point pattern (an object of class |
trend |
Logical scalar; should the trend component of the fitted model be plotted? |
cif |
Logical scalar; should the complete conditional intensity of the fitted model be plotted? |
se |
Logical scalar; should the estimated standard error of the fitted intensity be plotted? |
pause |
Logical scalar indicating whether to pause with a prompt
after each plot. Set |
how |
Character string or character vector indicating the style or styles of plots to be performed. |
... |
Extra arguments to the plotting functions
|
pppargs |
List of extra arguments passed to |
Details
If argument data
is supplied then the point pattern will
be superimposed on the image and contour plots.
Sometimes a fitted model does not have a trend component, or the
trend component may constitute all of the conditional intensity (if
the model is Poisson). In such cases the object x
will not
contain a trend component, or will contain only a trend component.
This will also be the case if one of the arguments trend
and cif
was set equal to FALSE
in the call to
plot.ppm()
which produced x
. If this is so then
only the item which is present will be plotted. Explicitly setting
trend=TRUE
, or cif=TRUE
, respectively, will then give
an error.
Value
None.
Warning
Arguments which are passed to persp
, image
, and
contour
via the ... argument get passed to any of the
other functions listed in the how
argument, and won't be
recognized by them. This leads to a lot of annoying but harmless
warning messages. Arguments to persp
may be supplied via
spatstat.options()
which alleviates the warning
messages in this instance.
Author(s)
Adrian Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner rolfturner@posteo.net
See Also
plot.ppm()
Examples
if(interactive()) {
m <- ppm(cells ~ 1, Strauss(0.05))
mpic <- plot(m)
# Perspective plot only, with altered parameters:
plot(mpic,how="persp", theta=-30,phi=40,d=4)
# All plots, with altered parameters for perspective plot:
op <- spatstat.options(par.persp=list(theta=-30,phi=40,d=4))
plot(mpic)
# Revert
spatstat.options(op)
}