data.tree: General Purpose Hierarchical Data Structure

Create tree structures from hierarchical data, and traverse the tree in various orders. Aggregate, cumulate, print, plot, convert to and from data.frame and more. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.

Version: 0.4.0
Depends: R (≥ 3.0)
Imports: R6, stringr, methods, DiagrammeR
Suggests: Formula, graphics, testthat, knitr, ape, yaml, networkD3, jsonlite, igraph, treemap, doParallel, party, partykit, foreach
Published: 2016-07-04
Author: Christoph Glur
Maintainer: Christoph Glur <christoph.glur at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: data.tree results


Reference manual: data.tree.pdf
Vignettes: Example applications of data.tre
Quick introduction to data.tree
Package source: data.tree_0.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X Mavericks binaries: r-release: data.tree_0.4.0.tgz, r-oldrel: data.tree_0.4.0.tgz
Old sources: data.tree archive

Reverse dependencies:

Reverse imports: ahp, hypoparsr, prof.tree, radiant.model
Reverse suggests: Rodam


Please use the canonical form to link to this page.