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 gmail.com>
License: MIT + file LICENSE
URL: https://zajichek.github.io/cheese, https://github.com/zajichek/cheese
NeedsCompilation: no
CRAN checks: cheese results

Downloads:

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: cheese_0.1.0.zip, r-release: cheese_0.1.0.zip, r-oldrel: cheese_0.1.1.zip
macOS binaries: r-release: cheese_0.1.0.tgz, r-oldrel: cheese_0.1.0.tgz
Old sources: cheese archive

Linking:

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