Package: regextable 0.1.2


Shirlyn Dong
regextable: Pattern-Based Text Extraction and Standardization with Lookup Tables
Extracts information from text using lookup tables of regular expressions. Each text entry is compared against patterns in a lookup table, returning the extracted substrings alongside optional metadata. Users can choose to extract all matching patterns (generating multiple rows per text entry) or limit extraction to the first match. This approach enables comprehensive, standardized pattern coverage when processing large or complex text datasets.
Authors:
regextable_0.1.2.tar.gz
regextable_0.1.2.zip(r-4.7)regextable_0.1.2.zip(r-4.6)regextable_0.1.2.zip(r-4.5)
regextable_0.1.2.tgz(r-4.6-any)regextable_0.1.2.tgz(r-4.5-any)
regextable_0.1.2.tar.gz(r-4.7-any)regextable_0.1.2.tar.gz(r-4.6-any)
regextable_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
regextable/json (API)
| # Install 'regextable' in R: |
| install.packages('regextable', repos = c('https://judgelord.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/judgelord/regextable/issues
Pkgdown/docs site:https://judgelord.github.io
- cr2007_03_01 - Cr2007_03_01 dataset
- members - Members dataset
Last updated from:035ef79284. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | WARNING | 158 | ||
| source / vignettes | ERROR | 257 | ||
| linux-release-x86_64 | WARNING | 141 | ||
| macos-release-arm64 | WARNING | 180 | ||
| macos-oldrel-arm64 | WARNING | 190 | ||
| windows-devel | WARNING | 118 | ||
| windows-release | WARNING | 108 | ||
| windows-oldrel | WARNING | 107 | ||
| wasm-release | OK | 124 |
Exports:clean_textextract
Dependencies:chkclidplyrgenericsgluelifecyclemagrittrpbapplypillarpkgconfigR6rlangstringistringrtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clean Text | clean_text |
| cr2007_03_01 dataset | cr2007_03_01 |
| Extract Regex Pattern Matches from Text Data | extract |
| members dataset | members |