cheese: Tools for Working with Data During Statistical Analysis

Contains tools for working with data during statistical analysis, promoting flexible, intuitive, and reproducible workflows. There are functions designated for specific statistical tasks such building a custom univariate descriptive table, computing pairwise association statistics, etc. These are built on a collection of data manipulation tools designed for general use that are motivated by the functional programming concept.

Version: 0.1.2
Depends: R (≥ 3.4.0)
Imports: dplyr (≥ 0.8.2), forcats (≥ 0.3.0), kableExtra (≥ 1.0.1), knitr (≥ 1.20), magrittr (≥ 1.5), methods (≥ 3.4.1), purrr (≥ 0.3.2), rlang (≥ 0.4.3), stringr (≥ 1.3.1), tibble (≥ 2.1.3), tidyr (≥ 0.8.1), tidyselect (≥ 1.0.0)
Suggests: rmarkdown (≥ 1.10)
Published: 2023-01-06
Author: Alex Zajichek [aut, cre]
Maintainer: Alex Zajichek <alexzajichek at gmail.com>
License: MIT + file LICENSE
URL: https://zajichek.github.io/cheese/, https://github.com/zajichek/cheese/
NeedsCompilation: no
CRAN checks: cheese results

Documentation:

Reference manual: cheese.pdf
Vignettes: Making cheese
Building a descriptive analysis

Downloads:

Package source: cheese_0.1.2.tar.gz
Windows binaries: r-devel: cheese_0.1.2.zip, r-release: cheese_0.1.2.zip, r-oldrel: cheese_0.1.2.zip
macOS binaries: r-release (arm64): cheese_0.1.2.tgz, r-oldrel (arm64): cheese_0.1.2.tgz, r-release (x86_64): cheese_0.1.2.tgz
Old sources: cheese archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=cheese to link to this page.