Cluster Distances Through Trees

Documentation for package ‘treeClust’ version 1.1-7

cramer	Compute Cramer's V for a two-way table
d3.dist	D3-style dissimilarity for a single tree
leaf.numbers	Convert "where" entry of tree frame into leaf numbers
make.leaf.paths	Make matrix of leaf paths
plot.treeClust	Plot treeClust object
print.treeClust	Print treeClust object
rp.deviance	Compute deviance within nodes of classification trees
rpart.predict.leaves	Return the leaf into which observations are predicted to fall
summary.treeClust	Summarize treeClust object
tcdist	Compute treeClust dissimilarities
tcnewdata	Create all-numeric data to mimic the inter-point distances from treeClust
treeClust	Build a tree-based dissimilarity for clustering, and optionally perform the clustering
treeClust.control	Parameters describing the output from a treeClust fit
treeClust.dist	Built treeClust distance
treeClust.rpart	Build an rpart tree as part of treeClust