| methods.rhohat {spatstat} | R Documentation |
These are methods for the class "rhohat".
## 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)
x,object |
An object of class |
... |
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 ( |
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.
For predict.rhohat the value is a pixel image
(object of class "im").
For other functions, the value is NULL.
Adrian Baddeley Adrian.Baddeley@uwa.edu.au http://www.maths.uwa.edu.au/~adrian/
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)