Kaver: Average K-functions from Simulations

Description

Forms the average of a series of (usually simulated) K-functions.

Usage

Kaver(fs, nsim, …)

Arguments

full scale for K-fn

nsim

number of simulations

…

arguments to simulate one point process object

Value

list with components x and y of the average K-fn on L-scale.

References

Ripley, B. D. (1981) Spatial Statistics. Wiley.

Venables, W. N. and Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth edition. Springer.

Examples

Run this code

# NOT RUN {
towns <- ppinit("towns.dat")
par(pty="s")
plot(Kfn(towns, 40), type="b")
plot(Kfn(towns, 10), type="b", xlab="distance", ylab="L(t)")
for(i in 1:10) lines(Kfn(Psim(69), 10))
lims <- Kenvl(10,100,Psim(69))
lines(lims$x,lims$lower, lty=2, col="green")
lines(lims$x,lims$upper, lty=2, col="green")
lines(Kaver(10,25,Strauss(69,0.5,3.5)),  col="red")
# }