plot.kstest {spatstat} | R Documentation |
Plot the result of a spatial Kolmogorov-Smirnov test
## S3 method for class 'kstest' plot(x, ..., lwd=par("lwd"), col=par("col"), lty=par("lty"), lwd0=lwd, col0=col, lty0=lty)
x |
Object to be plotted. An object of class |
... |
extra arguments that will be passed to the plotting function
|
col,lwd,lty |
The width, colour and type of lines used to plot the empirical distribution. |
col0,lwd0,lty0 |
The width, colour and type of lines used to plot the predicted distribution. |
This is the plot
method for the class "kstest"
.
An object of this class represents the outcome of
a spatial Kolmogorov-Smirnov test, computed by kstest
.
The plot displays the two cumulative distribution functions that are compared by the test: namely the empirical cumulative distribution function of the covariate at the data points, and the predicted cumulative distribution function of the covariate under the model, both plotted against the value of the covariate.
NULL
.
Adrian Baddeley Adrian.Baddeley@csiro.au http://www.maths.uwa.edu.au/~adrian/ and Rolf Turner r.turner@auckland.ac.nz
# synthetic data: nonuniform Poisson process X <- rpoispp(function(x,y) { 100 * exp(x) }, win=square(1)) # fit uniform Poisson process fit0 <- ppm(X, ~1) # test covariate = x coordinate xcoord <- function(x,y) { x } # test wrong model k <- kstest(fit0, xcoord) # plot result of test plot(k, lwd0=3)