partition: An object of class "partition"

In TBEST: Tree Branches Evaluated Statistically for Tightness

An object of class "partition"

Description

Description: This object is a list of four items, which jointly specify a detailed partition of a hierarchical tree into tight branches.

Value

Call	An object of class Call, specifying the function call which generated the list.
best	An object of class "best", see best for more info.
sigvalue	A two-column matrix, with one row per each internal node of the tree. The first column enumerates the nodes. The second column profides the significance estimate for the tightness of the node.
partition	A two-column data frame specifying the partitition. The first column is a character vector with the names of the leaves. The second column provides the number of the part to which the leaf belongs.

Author(s)

Guoli Sun, Alex Krasnitz

See Also

PartitionTree,best,SigTree

Examples

## Not run: 
data(leukemia)
mytable<-SigTree(data.matrix(leukemia),mystat="all",
       mymethod="ward",mymetric="euclidean",rand.fun="shuffle.column",
       distrib="Rparallel",njobs=2,Ptail=TRUE,tailmethod="ML")
class(mytable)
mypartition<-PartitionTree(x=mytable,siglevel=0.001,statname="fldc",
       sigtype="raw")
class(mypartition)
names(mypartition)

## End(Not run)

TBEST documentation built on May 25, 2022, 9:11 a.m.