Cut a tree (result from hclust) into groups of data. Groups are in the order of the tree leafs.
cutree.order(tree, k = NULL, h = NULL)Arguments
- tree
an
hclustobject- k
the desired number of groups
- h
height where the tree is to be cut
Note
The A2R package has not been updated since January 2006 and cannot be installed anymore with a recent version of R. It's why this function has been copied here.
See also
Examples
h77 <- hclust(dist(state.x77))
ct.o <- cutree.order(h77, k = 4)
ct.n <- cutree(h77, k = 4)
plot(h77)
rect.hclust(h77, 4)
cbind(ct.o, ct.n)
#> ct.o ct.n
#> Alabama 4 1
#> Alaska 1 2
#> Arizona 3 3
#> Arkansas 4 1
#> California 3 3
#> Colorado 3 3
#> Connecticut 4 1
#> Delaware 4 1
#> Florida 4 1
#> Georgia 4 1
#> Hawaii 4 1
#> Idaho 4 1
#> Illinois 4 1
#> Indiana 4 1
#> Iowa 4 1
#> Kansas 4 1
#> Kentucky 4 1
#> Louisiana 4 1
#> Maine 4 1
#> Maryland 4 1
#> Massachusetts 4 1
#> Michigan 4 1
#> Minnesota 4 1
#> Mississippi 4 1
#> Missouri 4 1
#> Montana 3 3
#> Nebraska 4 1
#> Nevada 3 3
#> New Hampshire 4 1
#> New Jersey 4 1
#> New Mexico 3 3
#> New York 4 1
#> North Carolina 4 1
#> North Dakota 4 1
#> Ohio 4 1
#> Oklahoma 4 1
#> Oregon 3 3
#> Pennsylvania 4 1
#> Rhode Island 4 1
#> South Carolina 4 1
#> South Dakota 4 1
#> Tennessee 4 1
#> Texas 2 4
#> Utah 4 1
#> Vermont 4 1
#> Virginia 4 1
#> Washington 4 1
#> West Virginia 4 1
#> Wisconsin 4 1
#> Wyoming 3 3