# methods.rhohat

0th

Percentile

##### Methods for Intensity Functions of Spatial Covariate

These are methods for the class "rhohat".

Keywords
methods, spatial
##### Usage
## S3 method for class 'rhohat':
print(x, ...)
## S3 method for class 'rhohat':
plot(x, ..., do.rug=TRUE)
## S3 method for class 'rhohat':
predict(object, ..., relative=FALSE)
##### Arguments
x,object
An object of class "rhohat" representing a smoothed estimate of the intensity function of a point process.
...
Arguments passed to other methods.
do.rug
Logical value indicating whether to plot the observed values of the covariate as a rug plot along the horizontal axis.
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, plot and predict for the class "rhohat".

An object of class "rhohat" is an estimate of the intensity of a point process, as a function of a given spatial covariate. See rhohat. The method plot.rhohat displays the estimated function $\rho$ using plot.fv, and optionally adds a rug plot of the observed values of the covariate. The method predict.rhohat computes a pixel image of the intensity $\rho(Z(u))$ at each spatial location $u$, where $Z$ is the spatial covariate.

##### Value

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

rhohat

##### Aliases
• methods.rhohat
• print.rhohat
• plot.rhohat
• predict.rhohat
##### Examples
X <-  rpoispp(function(x,y){exp(3+3*x)})
rho <- rhohat(X, function(x,y){x})
rho
plot(rho)
Y <- predict(rho)
plot(Y)
#
fit <- ppm(X, ~x)
rho <- rhohat(fit, "y")
opa <- par(mfrow=c(1,2))
plot(predict(rho))
plot(predict(rho, relative=TRUE))
par(opa)
Documentation reproduced from package spatstat, version 1.23-3, License: GPL (>= 2)

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