Functions for tabulating and summarising categorical variables. Most functions are designed to work with dataframes, and use the 'tidyverse' idiom of taking the dataframe as the first argument so they work within pipelines. Equivalent functions that operate directly on vectors are also provided where it makes sense. This package aims to make exploratory data analysis involving categorical variables quicker, simpler and more robust.
| Version: | 0.17.0 |
| Depends: | R (≥ 3.4.0) |
| Imports: | dplyr (≥ 1.0.0), janitor, magrittr, purrr, rlang, stringr, tibble, tidyr |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2021-11-23 |
| Author: | Oliver Hawkins [aut, cre] |
| Maintainer: | Oliver Hawkins <oli at olihawkins.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | tabbycat results |
| Reference manual: | tabbycat.pdf |
| Package source: | tabbycat_0.17.0.tar.gz |
| Windows binaries: | r-devel: tabbycat_0.17.0.zip, r-release: tabbycat_0.17.0.zip, r-oldrel: tabbycat_0.17.0.zip |
| macOS binaries: | r-release (arm64): tabbycat_0.17.0.tgz, r-oldrel (arm64): tabbycat_0.17.0.tgz, r-release (x86_64): tabbycat_0.17.0.tgz, r-oldrel (x86_64): tabbycat_0.17.0.tgz |
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