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A wrapper to a set of algorithms designed to recognise positional cues present in hierarchical for-human Tables (which would normally be interpreted visually by the human brain) to decompose, then reconstruct the data into machine-readable LongForm Dataframes.
| Version: | 1.3.2 |
| Published: | 2019-01-10 |
| DOI: | 10.32614/CRAN.package.TableToLongForm |
| Author: | Jimmy Oh [aut, cre] |
| Maintainer: | Jimmy Oh <joh024 at aucklanduni.ac.nz> |
| License: | GPL-3 |
| URL: | https://www.stat.auckland.ac.nz/~joh024/Research/TableToLongForm/ |
| NeedsCompilation: | no |
| CRAN checks: | TableToLongForm results |
| Reference manual: | TableToLongForm.pdf |
| Package source: | TableToLongForm_1.3.2.tar.gz |
| Windows binaries: | r-devel: TableToLongForm_1.3.2.zip, r-release: TableToLongForm_1.3.2.zip, r-oldrel: TableToLongForm_1.3.2.zip |
| macOS binaries: | r-release (arm64): TableToLongForm_1.3.2.tgz, r-oldrel (arm64): TableToLongForm_1.3.2.tgz, r-release (x86_64): TableToLongForm_1.3.2.tgz, r-oldrel (x86_64): TableToLongForm_1.3.2.tgz |
| Old sources: | TableToLongForm archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.