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_0.1.0.tgz(r-4.6-x86_64)factor256_0.1.0.tgz(r-4.6-arm64)factor256_0.1.0.tgz(r-4.5-x86_64)factor256_0.1.0.tgz(r-4.5-arm64)
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factor256_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
factor256/json (API)

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

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

On CRAN:

Conda:

2.70 score 1 stars 5 scripts 167 downloads 20 exports 0 dependencies

Last updated from:846be74079. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK111
linux-devel-x86_64OK107
source / vignettesOK134
linux-release-arm64OK97
linux-release-x86_64OK99
macos-release-arm64OK94
macos-release-x86_64OK187
macos-oldrel-arm64OK113
macos-oldrel-x86_64OK278
windows-develOK72
windows-releaseOK71
windows-oldrelOK73
wasm-releaseOK88

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