| plot.fads {ads} | R Documentation |
Plot second-order neigbourhood function estimates returned by functions kfun,
k12fun, kmfun, kijfun or ki.fun.
## S3 method for class 'fads': plot(x,opt,cols,lty,main,sub,legend,csize,...)
x |
an object of class "fads" (see Details). |
opt |
one of c("all","L","K","n","g") to dislay either all or one of the functions in a single window. By default opt = "all" for fads
objects of subclass "kfun", "k12fun", or "kmfun"; by default opt = "L" for fads objects of subclass "kij", or "ki.". |
cols |
(optional) coulours used for plotting functions. |
lty |
(optional) line types used for plotting functions. |
main |
by default, the value of argument x, otherwise a text to be displayed as a title of the plot. main=NULL displays no title. |
sub |
by default, the name of the function displayed, otherwise a text to be displayed as function subtitle. sub=NULL displays no subtitle. |
legend |
If legend = TRUE (the default) a legend for the plotting functions is displayed. |
csize |
scaling factor for font size so that actual font size is par("cex")*csize. By default csize = 1. |
... |
extra arguments that will be passed to the plotting functions plot.swin, plot.default, symbols and/or points. |
Function plot.fads displays second-order neighbourhood function estimates as a function of interpoint distance, with expected values
as well as confidence interval limits when computed. Argument x can be any fads object returned by functions kfun,
k12fun, kmfun, kijfun or ki.fun.
none.
kfun,
k12fun,
kmfun,
kijfun,
ki.fun.
data(BPoirier)
BP<-BPoirier
# Ripley's function
swr<-spp(BP$trees,win=BP$rect)
k.swr<-kfun(swr,25,1,500)
plot(k.swr)
# Intertype function
swrm<-spp(BP$trees,win=BP$rect,marks=BP$species)
k12.swrm<-k12fun(swrm,25,1,500,marks=c("beech","oak"))
plot(k12.swrm,opt="L",cols=1)
# Mark correlation function
swrm<-spp(BP$trees,win=BP$rect,marks=BP$dbh)
km.swrm<-kmfun(swrm,25,1,500)
plot(km.swrm,main="Example 1",sub=NULL,legend=FALSE)