Package: VBTree 0.1.1
VBTree: Vector Binary Tree to Make Your Data Management More Efficient
Vector binary tree provides a new data structure, to make your data visiting and management more efficient. If the data has structured column names, it can read these names and factorize them through specific split pattern, then build the mappings within double list, vector binary tree, array and tensor mutually, through which the batched data processing is achievable easily. The methods of array and tensor are also applicable. Detailed methods are described in Chen Zhang et al. (2020) <doi:10.35566/isdsa2019c8>.
Authors:
VBTree_0.1.1.tar.gz
VBTree_0.1.1.zip(r-4.5)VBTree_0.1.1.zip(r-4.4)VBTree_0.1.1.zip(r-4.3)
VBTree_0.1.1.tgz(r-4.4-any)VBTree_0.1.1.tgz(r-4.3-any)
VBTree_0.1.1.tar.gz(r-4.5-noble)VBTree_0.1.1.tar.gz(r-4.4-noble)
VBTree_0.1.1.tgz(r-4.4-emscripten)VBTree_0.1.1.tgz(r-4.3-emscripten)
VBTree.pdf |VBTree.html✨
VBTree/json (API)
| # Install 'VBTree' in R: |
| install.packages('VBTree', repos = c('https://cubiczebra.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/cubiczebra/vbtree/issues
- datatest - A test data structurized column names.
Last updated 10 months agofrom:7ce5c2b988. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 09 2024 |
| R-4.5-win | OK | Oct 09 2024 |
| R-4.5-linux | OK | Oct 09 2024 |
| R-4.4-win | OK | Oct 09 2024 |
| R-4.4-mac | OK | Oct 09 2024 |
| R-4.3-win | OK | Oct 09 2024 |
| R-4.3-mac | OK | Oct 09 2024 |
Exports:advbtinqadvbtsubarr2dlarr2vbtchrvec2dldatavisitdl2arrdl2tsdl2vbthellotrvstrvseleinqtrvsidxinqtrvssubinqts2dlts2vbtvbt2arrvbt2dlvbt2tsvbtinqvbtsub
Dependencies:tensorA
