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 |