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)