We illustrate algorithm LeafsFirst in the case of calculating a level set tree.
N<-c(16,16) pcf<-sim.data(N=N,type="mulmod") lst<-leafsfirst(pcf) leafsfirst.visu(lst,pcf,lkmbound=28)
Next we illustrate algorithm LeafsFirst in the case of calculating a shape tree.
st<-leafsfirst(pcf,propor=0.1) leafsfirst.visu(st,pcf,propor=0.1,lkmbound=28)
We illustrate algorithm LeafsFirst in the case of calculating a shape tree. Function ``plottwin'' makes 2 windows. The first window shows a level set and the second window shows the shape tree, with the vector representation. Click with the mouse at the second window to let the algorithm proceed.
N<-c(8,8) # size of the grid pcf<-sim.data(N=N,type="fox") # piecewise constant function lev<-0.002 # level of the level set refe<-c(0,0) # reference point st<-leafsfirst(pcf,lev,refe) # shape tree plottwin(st,pcf,lev,refe)
We used a level set of the fox density and we applied a very sparse grid to approximate the function.