"rho2hat".## 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)
"rho2hat".relative=FALSE)
or the relative risk (relative=TRUE) in the case
of a relative risk estimate.predict.rho2hat the value is a pixel image
(object of class "im").
For other functions, the value is NULL.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.
rho2hatr2 <- with(bei.extra, rho2hat(bei, elev, grad))
r2
plot(r2)
plot(predict(r2))Run the code above in your browser using DataLab