Vector Binary Tree to Make Your Data Management More Efficient
Overview
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.
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Health
CRAN check results are not tracked yet.
- NOTE13 OK, 1 NOTE2026-04-12
- OK14 OK2026-03-10
Documentation
- Help pages
- 23includes a package overview page
- Examples that run
- 96%22 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 4%
Downloads
Dependencies
Code & Tests
Datasets
People & History
Maintainer since 0.1.0 (2018)
Pick two releases to compare their code metrics.
- archivedRemoved from CRAN2026-05-18issues were not corrected despite reminders
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- unarchivedReturned to CRAN2024-01-12
- 0.1.1
- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-05-09check problems were not corrected despite reminders
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.1.02018-09-16
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-09-16
- Total releases
- 2 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 10 KB / 1 file
- Download size
- 169 KB
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