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factor256
View on CRAN: Click
here
Download and install factor256 package within the R console
Install from CRAN:
install.packages("factor256")
Install from Github:
library("remotes")
install_github("cran/factor256")
Install by package version:
library("remotes")
install_version("factor256", "0.1.0")
Attach the package and use:
library("factor256")
Maintained by
Hugh Parsonage
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.factor256 . factor256 results . factor256.pdf . factor256_0.1.0.tar.gz . factor256_0.1.0.zip . factor256_0.1.0.zip . factor256_0.1.0.zip . factor256_0.1.0.tgz . factor256_0.1.0.tgz . factor256_0.1.0.tgz . factor256_0.1.0.tgz . factor256_0.1.0.tgz . factor256_0.1.0.tgz . https://CRAN.R-project.org/package=factor256 .
First Published: 2023-11-17
Latest Update: 2023-11-17
Description:
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.
How to cite:
Hugh Parsonage (2023). factor256: Use Raw Vectors to Minimize Memory Consumption of Factors. R package version 0.1.0, https://cran.r-project.org/web/packages/factor256. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited factor256 R package
View factor256 citation profile
Other R packages that factor256 depends,
imports, suggests or enhances
Complete documentation for factor256
Functions, R codes and Examples using
the factor256 R package
Some associated functions: count_by256 . factor256 . interlace256 . setkeyv256 .
Some associated R codes: aggregate.R . factor256.R . interlace_raws.R . Full factor256 package functions and examples
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