The R Journal: article published in 2021, volume 13:1

Reproducible Summary Tables with the gtsummary Package
Daniel D. Sjoberg, Karissa Whiting, Michael Curry, Jessica A. Lavery and Joseph Larmarange , The R Journal (2021) 13:1, pages 570-580.

Abstract The gtsummary package provides an elegant and flexible way to create publication-ready summary tables in R. A critical part of the work of statisticians, data scientists, and analysts is summarizing data sets and regression models in R and publishing or sharing polished summary tables. The gtsummary package was created to streamline these everyday analysis tasks by allowing users to easily create reproducible summaries of data sets, regression models, survey data, and survival data with a simple interface and very little code. The package follows a tidy framework, making it easy to integrate with standard data workflows, and offers many table customization features through function arguments, helper functions, and custom themes.

Received: 2021-01-15; online 2021-06-22, supplementary material, (8.4 KiB)
CRAN packages: gtsummary, broom, gt, magrittr, tidyselect, tidyverse, skimr, stargazer, finalfit, tableone, glue, survey, parameters, broom.helpers, flextable, huxtable, kableExtra
CRAN Task Views implied by cited CRAN packages: ReproducibleResearch, Distributions, OfficialStatistics, SocialSciences, Survival, WebTechnologies

This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

@article{RJ-2021-053,
  author = {Daniel D. Sjoberg and Karissa Whiting and Michael Curry and
          Jessica A. Lavery and Joseph Larmarange},
  title = {{Reproducible Summary Tables with the gtsummary Package}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-053},
  url = {https://doi.org/10.32614/RJ-2021-053},
  pages = {570--580},
  volume = {13},
  number = {1}
}