```
K <- Kest(cells)
# K is an object of class "fv"
plot(K, iso ~ r) # plots iso against r
plot(K, sqrt(iso/pi) ~ r) # plots sqrt(iso/r) against r
plot(K, cbind(iso,theo) ~ r) # plots iso against r AND theo against r
plot(K, . ~ r) # plots all available estimates of K against r
plot(K, sqrt(./pi) ~ r) # plots all estimates of L-function
# L(r) = sqrt(K(r)/pi)
plot(K, cbind(iso,theo) ~ r, col=c(2,3))
# plots iso against r in colour 2
# and theo against r in colour 3
plot(K, iso ~ r, subset=quote(r < 0.2))
# plots iso against r for r < 10
# Can't remember the names of the columns? No problem..
plot(K, sqrt(./pi) ~ .x)
# making a legend by hand
v <- plot(K, . ~ r, legend=FALSE)
legend("topleft", legend=v$meaning, lty=v$lty, col=v$col)
# significance bands
KE <- envelope(cells, Kest, nsim=19)
plot(KE, shade=c("hi", "lo"))
# how to display two functions on a common scale
Kr <- Kest(redwood)
a <- plot(K, limitsonly=TRUE)
b <- plot(Kr, limitsonly=TRUE)
xlim <- range(a$xlim, b$xlim)
ylim <- range(a$ylim, b$ylim)
opa <- par(mfrow=c(1,2))
plot(K, xlim=xlim, ylim=ylim)
plot(Kr, xlim=xlim, ylim=ylim)
par(opa)
# For a shortcut, try plot(anylist(K, Kr), equal.scales=TRUE)
```

Run the code above in your browser using DataLab