partition {delt} | R Documentation |
Finds the partition generated by an evaluation tree. An evaluation tree makes a recursive partition of a rectangle. Functions "eval.cart", "densplit",... return evaluation trees.
partition(et, grid=TRUE, zerorecs=FALSE)
et |
an evaluation tree; output of "eval.cart", "densplit", ... |
grid |
TRUE or FALSE; whether the true coordinates or relative coordinates are used |
zerorecs |
TRUE or FALSE; whether the rectangles where the density vanishes are included; (evaluation trees are used by package "delt" to represent density functions) |
Returns a list with the following elements.
values |
vector whose lenght is equal to the number of rectangles in the partition; value of the function on the corresponding rectangle |
recs |
recnum*(2*d) matrix; recnum is the number of rectangles in the partition and d is the dimension of the observations. The rows of "recs" describe the rectangles. Column (2*j-1) gives the lower value for the j:th interval and (2*j):th column gives upper value for the j:th interval, j=1,...,d. |
support |
the rectangle which is partitioned |
Jussi Klemela
dendat<-sim.data(n=200,seed=5,type="mulmodII") et<-densplit(dendat) pa<-partition(et) plotparti(pa)