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 a categorical variable; modelsum(), which performs simple model fits on the same endpoint for many variables (univariate or adjusted for standard covariates); freqlist(), a powerful frequency table across many categorical variables; and write2(), a function to output tables to a document.


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install.packages("arsenal")

0.3.0 by Ethan Heinzen, 3 months ago


https://cran.r-project.org/package=arsenal


Browse source code at https://github.com/cran/arsenal


Authors: Ethan Heinzen [aut, cre], Jason Sinnwell [aut], Elizabeth Atkinson [aut], Tina Gunderson [aut], Gregory Dougherty [aut], Patrick Votruba [ctb], Ryan Lennon [ctb], Krista Goergen [ctb], Emily Lundt [ctb]


Documentation:   PDF Manual  


GPL (>= 2) license


Imports broom, stringr

Depends on stats

Suggests knitr, rmarkdown, xtable, pander, survival, testthat, coin, pROC, MASS, gam, rpart


See at CRAN