The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
Uses raw vectors to minimize memory consumption of categorical variables with fewer than 256 unique values. Useful for analysis of large datasets involving variables such as age, years, states, countries, or education levels.
| Version: | 0.1.0 |
| Imports: | utils |
| Suggests: | data.table, tinytest |
| Published: | 2023-11-17 |
| DOI: | 10.32614/CRAN.package.factor256 |
| Author: | Hugh Parsonage [aut, cre] |
| Maintainer: | Hugh Parsonage <hugh.parsonage at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | factor256 results |
| Reference manual: | factor256.pdf |
| Package source: | factor256_0.1.0.tar.gz |
| Windows binaries: | r-devel: factor256_0.1.0.zip, r-release: factor256_0.1.0.zip, r-oldrel: factor256_0.1.0.zip |
| macOS binaries: | r-release (arm64): factor256_0.1.0.tgz, r-oldrel (arm64): factor256_0.1.0.tgz, r-release (x86_64): factor256_0.1.0.tgz, r-oldrel (x86_64): factor256_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=factor256 to link to this page.
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.