Create tree structures from hierarchical data, and use the utility methods to traverse the tree in various orders. Aggregate, print, convert to and from data.frame, and apply functions to your tree data. Useful for decision trees, machine learning, finance, and many other applications.
| Version: | 0.1.6 |
| Depends: | R (≥ 3.0) |
| Imports: | R6 |
| Suggests: | testthat, magrittr, knitr |
| Published: | 2015-04-10 |
| Author: | Christoph Glur |
| Maintainer: | Christoph Glur <christoph.glur at ipub.ch> |
| 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 |
| CRAN checks: | data.tree results |
| Reference manual: | data.tree.pdf |
| Vignettes: |
Example of using data.tree for ID3 classification Quick introduction to data.tree |
| Package source: | data.tree_0.1.6.tar.gz |
| Windows binaries: | r-devel: data.tree_0.1.6.zip, r-release: data.tree_0.1.6.zip, r-oldrel: data.tree_0.1.6.zip |
| OS X Snow Leopard binaries: | r-release: data.tree_0.1.6.tgz, r-oldrel: data.tree_0.1.6.tgz |
| OS X Mavericks binaries: | r-release: data.tree_0.1.6.tgz |