Package: factor256 0.1.0

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.

Authors:Hugh Parsonage [aut, cre]

factor256_0.1.0.tar.gz
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factor256.pdf |factor256.html✨
factor256/json (API)

# Install 'factor256' in R:
install.packages('factor256', repos = c('https://hughparsonage.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/hughparsonage/factor256/issues

On CRAN:

2.70 score 1 stars 5 scripts 245 downloads 20 exports 0 dependencies

Last updated 1 years agofrom:846be74079. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-win-x86_64OKFeb 01 2025
R-4.5-mac-x86_64OKFeb 01 2025
R-4.5-mac-aarch64OKFeb 01 2025
R-4.5-linux-x86_64OKFeb 01 2025
R-4.4-win-x86_64OKFeb 01 2025
R-4.4-mac-x86_64OKFeb 01 2025
R-4.4-mac-aarch64OKFeb 01 2025
R-4.3-win-x86_64OKFeb 01 2025
R-4.3-mac-x86_64OKFeb 01 2025
R-4.3-mac-aarch64OKFeb 01 2025

Exports:as_factordeinterlace256deinterlace256_columnsfactor256factor256_einfactor256_enotinfactor256_infactor256_notininterlace256interlace256_columnsis.factor256isntSorted256order256rank256recompose256relevel256setkeyv256tabulate256tabulate256_levelsunique256

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Aggregating helperscount_by256
Factors of fewer than 256 elementsas_factor factor256 factor256_ein factor256_enotin factor256_in factor256_notin is.factor256 isntSorted256 levels.factor256 order256 rank256 recompose256 relevel256 tabulate256 tabulate256_levels unique256
Interlace raw vectorsdeinterlace256 deinterlace256_columns interlace256 interlace256_columns
'setkey' for raw columnssetkeyv256