factor256: Use Raw Vectors to Minimize Memory Consumption of Factors

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


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