gtsummary: 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.

Package details

AuthorDaniel D. Sjoberg [aut, cre] (<>), Michael Curry [aut] (<>), Margie Hannum [aut] (<>), Joseph Larmarange [aut] (<>), Karissa Whiting [aut] (<>), Emily C. Zabor [aut] (<>), Esther Drill [ctb] (<>), Jessica Flynn [ctb] (<>), Jessica Lavery [ctb] (<>), Stephanie Lobaugh [ctb], Gustavo Zapata Wainberg [ctb] (<>)
MaintainerDaniel D. Sjoberg <>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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gtsummary documentation built on May 19, 2021, 9:06 a.m.