# Cluster Distances Through Trees

## Documentation for package ‘treeClust’ version 1.1-7

- DESCRIPTION file.

## Help Pages

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