tabbycat: Tabulate and Summarise Categorical Data

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

Documentation:

Reference manual: tabbycat.pdf

Downloads:

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-release (x86_64): tabbycat_0.17.0.tgz, r-oldrel: tabbycat_0.17.0.tgz

Linking:

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