# methods.rho2hat

0th

Percentile

##### Methods for Intensity Functions of Two Spatial Covariates

These are methods for the class "rho2hat".

Keywords
methods, spatial
##### Usage
## S3 method for class 'rho2hat':
plot(x, \dots, do.points=FALSE)## S3 method for class 'rho2hat':
print(x, \dots)## S3 method for class 'rho2hat':
predict(object, \dots, relative=FALSE)
##### Arguments
x,object
An object of class "rho2hat".
...
Arguments passed to other methods.
do.points
Logical value indicating whether to plot the observed values of the covariates at the data points.
relative
Logical value indicating whether to compute the estimated point process intensity (relative=FALSE) or the relative risk (relative=TRUE) in the case of a relative risk estimate.
##### Details

These functions are methods for the generic commands print, predict and plot for the class "rho2hat".

An object of class "rho2hat" is an estimate of the intensity of a point process, as a function of two given spatial covariates. See rho2hat. The method plot.rho2hat displays the estimated function $\rho$ using plot.fv, and optionally adds a rug plot of the observed values of the covariate. In this plot the two axes represent possible values of the two covariates.

The method predict.rho2hat computes a pixel image of the intensity $\rho(Z_1(u), Z_2(u))$ at each spatial location $u$, where $Z_1(u)$ and $Z_2(u)$ are the two spatial covariates.

##### Value

• For predict.rho2hat the value is a pixel image (object of class "im"). For other functions, the value is NULL.

##### See Also

rho2hat

##### Aliases
• methods.rho2hat
• predict.rho2hat
• print.rho2hat
• plot.rho2hat
##### Examples
r2 <- with(bei.extra, rho2hat(bei, elev, grad))
r2
plot(r2)
plot(predict(r2))
Documentation reproduced from package spatstat, version 1.42-2, License: GPL (>= 2)

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