arsenal: An Arsenal of 'R' Functions for Large-Scale Statistical Summaries

An Arsenal of 'R' functions for large-scale statistical summaries, which are streamlined to work within the latest reporting tools in 'R' and 'RStudio' and which use formulas and versatile summary statistics for summary tables and models. The primary functions include tableby(), a Table-1-like summary of multiple variable types 'by' the levels of one or more categorical variables; paired(), a Table-1-like summary of multiple variable types paired across two time points; modelsum(), which performs simple model fits on one or more endpoints for many variables (univariate or adjusted for covariates); freqlist(), a powerful frequency table across many categorical variables; comparedf(), a function for comparing data.frames; and write2(), a function to output tables to a document.

Version: 3.5.0
Depends: R (≥ 3.4.0), stats (≥ 3.4.0)
Imports: knitr (≥ 1.29), utils (≥ 3.4.0)
Suggests: broom (≥ 0.7.0), stringr, magrittr, rmarkdown, testthat, xtable, pander, survival (≥ 2.41-3), coin, pROC, MASS, gam, rpart, yaml
Published: 2020-07-13
Author: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Andrew Hanson [ctb], Krista Goergen [ctb], Emily Lundt [ctb], Brendan Broderick [ctb], Maddie McCullough [art]
Maintainer: Ethan Heinzen <heinzen.ethan at mayo.edu>
BugReports: https://github.com/mayoverse/arsenal/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/mayoverse/arsenal, https://cran.r-project.org/package=arsenal, https://mayoverse.github.io/arsenal/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: arsenal results

Downloads:

Reference manual: arsenal.pdf
Vignettes: The comparedf function
The freqlist function
A Few Notes on Labels
The modelsum function
The paired function
The tableby function
The write2 function
Package source: arsenal_3.5.0.tar.gz
Windows binaries: r-devel: arsenal_3.5.0.zip, r-release: arsenal_3.5.0.zip, r-oldrel: arsenal_3.5.0.zip
macOS binaries: r-release: arsenal_3.5.0.tgz, r-oldrel: arsenal_3.5.0.tgz
Old sources: arsenal archive

Reverse dependencies:

Reverse imports: sdglinkage

Linking:

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