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Create and use data frame labels for data frame objects (frame labels), their columns (name labels), and individual values of a column (value labels). Value labels include one-to-one and many-to-one labels for nominal and ordinal variables, as well as numerical range-based value labels for continuous variables. Convert value-labeled variables so each value is replaced by its corresponding value label. Add values-converted-to-labels columns to a value-labeled data frame while preserving parent columns. Filter and subset a value-labeled data frame using labels, while returning results in terms of values. Overlay labels in place of values in common R commands to increase interpretability. Generate tables of value frequencies, with categories expressed as raw values or as labels. Access data frames that show value-to-label mappings for easy reference.
Version: | 0.1.9 |
Depends: | R (≥ 4.0.0) |
Imports: | stats, utils |
Suggests: | knitr, rmarkdown, car, nycflights13, collapse, tibble, haven, dplyr, modelr, ggplot2 |
Published: | 2024-09-08 |
DOI: | 10.32614/CRAN.package.labelr |
Author: | Robert Hartman [aut, cre], The MITRE Corporation [cph] |
Maintainer: | Robert Hartman <rohartman at gmail.com> |
License: | GPL (≥ 3) |
URL: | https://github.com/rhartmano/labelr |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | labelr results |
Reference manual: | labelr.pdf |
Vignettes: |
Labelr - An Introduction (source, R code) Labelr - Special Topics (source, R code) |
Package source: | labelr_0.1.9.tar.gz |
Windows binaries: | r-devel: labelr_0.1.9.zip, r-release: labelr_0.1.9.zip, r-oldrel: labelr_0.1.9.zip |
macOS binaries: | r-release (arm64): labelr_0.1.9.tgz, r-oldrel (arm64): labelr_0.1.9.tgz, r-release (x86_64): labelr_0.1.9.tgz, r-oldrel (x86_64): labelr_0.1.9.tgz |
Old sources: | labelr archive |
Please use the canonical form https://CRAN.R-project.org/package=labelr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.