Presentation-Ready Data Summary and Analytic Result Tables

Creates presentation-ready tables summarizing data sets, regression models, and more. The code to create the tables is concise and highly customizable. Data frames can be summarized with any function, e.g. mean(), median(), even user-written functions. Regression models are summarized and include the reference rows for categorical variables. Common regression models, such as logistic regression and Cox proportional hazards regression, are automatically identified and the tables are pre-filled with appropriate column headers.


Reference manual

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1.3.1 by Daniel D. Sjoberg, 4 days ago,

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Browse source code at

Authors: Daniel D. Sjoberg [aut, cre] , Margie Hannum [aut] , Karissa Whiting [aut] , Emily C. Zabor [aut] , Michael Curry [ctb] , Esther Drill [ctb] , Jessica Flynn [ctb] , Stephanie Lobaugh [ctb]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports broom, broom.mixed, crayon, dplyr, forcats, glue, gt, huxtable, knitr, lifecycle, magrittr, purrr, rlang, stringr, survival, tibble, tidyr, tidyselect, usethis

Suggests car, covr, flextable, geepack, Hmisc, kableExtra, lme4, officer, pkgdown, rmarkdown, scales, spelling, testthat

See at CRAN