# plot.plotppm

##### Plot a plotppm Object Created by plot.ppm

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"), ...)
```

##### Arguments

- x
- An object of class
`plotppm`

produced by`plot.ppm()`

- data
- The point pattern (an object of class
`ppp`

) to which the point process model was fitted (by`ppm`

). - 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
`pause=FALSE`

if plotting to a file. - how
- Character string or character vector indicating the style or styles of plots to be performed.
- ...
- Extra arguments to the plotting functions
`persp`

,`image`

and`contour`

.

##### 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.

##### See Also

`plot.ppm()`

##### Examples

```
data(cells)
Q <- quadscheme(cells)
m <- ppm(Q, ~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:
spatstat.options(par.persp=list(theta=-30,phi=40,d=4))
plot(mpic)
```

*Documentation reproduced from package spatstat, version 1.18-1, License: GPL (>= 2)*