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;, the S3 method for comparing data.frames; and write2(), a function to output tables to a document.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.6.0 by Ethan Heinzen, a month ago,

Report a bug at

Browse source code at

Authors: 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]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports testthat

Depends on stats

Suggests broom, stringr, magrittr, knitr, rmarkdown, xtable, pander, survival, coin, pROC, MASS, gam, rpart, yaml

See at CRAN