Create tree structures from hierarchical data, and use the utility methods to traverse the tree in various orders. Aggregate, cumulate, print, convert to and from data.frame, and apply functions to your tree data. Useful for decision trees, machine learning, finance, conversion from and to JSON, and many other applications.
Version: | 0.2.4 |
Depends: | R (≥ 3.0) |
Imports: | R6, stringr, methods |
Suggests: | graphics, testthat, knitr, ape, networkD3, yaml, jsonlite, DiagrammeR, igraph, treemap, doParallel, foreach, htmlwidgets |
Published: | 2015-10-24 |
Author: | Christoph Glur |
Maintainer: | Christoph Glur <christoph.glur at ipub.com> |
BugReports: | http://github.com/gluc/data.tree/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: | http://github.com/gluc/data.tree |
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_0.2.4.tar.gz |
Windows binaries: | r-devel: data.tree_0.2.4.zip, r-release: data.tree_0.2.4.zip, r-oldrel: data.tree_0.2.4.zip |
OS X Snow Leopard binaries: | r-release: data.tree_0.2.1.tgz, r-oldrel: data.tree_0.1.6.tgz |
OS X Mavericks binaries: | r-release: data.tree_0.2.4.tgz |
Old sources: | data.tree archive |