cheese: Tools for Intuitive and Flexible Statistical Analysis Workflows

Contains flexible and intuitive functions to assist in carrying out tasks in a statistical analysis and to get from the raw data to presentation-ready results. A user-friendly interface is used in specialized functions that are aimed at common tasks such as building a univariate descriptive table for variables in a dataset. These high-level functions are built on a collection of low(er)-level functions that may be useful for aspects of a custom statistical analysis workflow or for general programming use.

Version: 0.0.1
Depends: R (≥ 3.4.0)
Imports: dplyr (≥ 0.7.7), forcats (≥ 0.3.0), kableExtra (≥ 1.0.1), knitr (≥ 1.20), magrittr (≥ 1.5), methods (≥ 3.4.1), purrr (≥ 0.2.4), rlang (≥ 0.3.0.1), stringr (≥ 1.3.1), tibble (≥ 1.4.2), tidyr (≥ 0.8.1), tidyselect (≥ 0.2.4)
Suggests: rmarkdown (≥ 1.10), tidyverse (≥ 1.2.1)
Published: 2019-04-01
Author: Alex Zajichek [aut, cre]
Maintainer: Alex Zajichek <alexzajichek at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/zajichek/cheese
NeedsCompilation: no
CRAN checks: cheese results

Downloads:

Reference manual: cheese.pdf
Vignettes: Tutorial on cheese
Package source: cheese_0.0.1.tar.gz
Windows binaries: r-devel: cheese_0.0.1.zip, r-devel-gcc8: cheese_0.0.1.zip, r-release: cheese_0.0.1.zip, r-oldrel: cheese_0.0.1.zip
OS X binaries: r-release: cheese_0.0.1.tgz, r-oldrel: cheese_0.0.1.tgz

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