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: 0.1.1
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: 2020-10-19
Author: Alex Zajichek [aut, cre]
Maintainer: Alex Zajichek <alexzajichek at>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: cheese results


Reference manual: cheese.pdf
Vignettes: Functions in the cheese package
Building a descriptive analysis


Package source: cheese_0.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): cheese_0.1.1.tgz, r-release (x86_64): cheese_0.1.1.tgz, r-oldrel: cheese_0.1.1.tgz
Old sources: cheese archive


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