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factor256  

Use Raw Vectors to Minimize Memory Consumption of Factors
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]
All associated links for this package
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 30 Jan. 2025.
Previous versions and publish date:
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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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