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
Author: Hugh Parsonage [aut, cre]
Maintainer: Hugh Parsonage <hugh.parsonage at gmail.com>
License: GPL-2
NeedsCompilation: yes
Materials: README
CRAN checks: factor256 results

Documentation:

Reference manual: factor256.pdf

Downloads:

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

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