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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.
Version: | 2.0.3 |
Depends: | R (≥ 4.2) |
Imports: | cards (≥ 0.3.0), cli (≥ 3.6.3), dplyr (≥ 1.1.3), glue (≥ 1.8.0), gt (≥ 0.10.0), lifecycle (≥ 1.0.3), rlang (≥ 1.1.1), tidyr (≥ 1.3.0), vctrs (≥ 0.6.4) |
Suggests: | aod (≥ 1.3.3), broom (≥ 1.0.5), broom.helpers (≥ 1.17.0), broom.mixed (≥ 0.2.9), car (≥ 3.0-11), cardx (≥ 0.2.1), cmprsk, effectsize (≥ 0.6.0), emmeans (≥ 1.7.3), flextable (≥ 0.8.1), geepack (≥ 1.3.10), ggstats (≥ 0.2.1), huxtable (≥ 5.4.0), insight (≥ 0.15.0), kableExtra (≥ 1.3.4), knitr (≥ 1.37), lme4 (≥ 1.1-31), mice (≥ 3.10.0), nnet, officer, openxlsx, parameters (≥ 0.20.2), parsnip (≥ 0.1.7), rmarkdown, smd (≥ 0.6.6), spelling, survey (≥ 4.2), survival (≥ 3.6-4), testthat (≥ 3.2.0), withr (≥ 2.5.0), workflows (≥ 0.2.4) |
Published: | 2024-10-04 |
DOI: | 10.32614/CRAN.package.gtsummary |
Author: | Daniel D. Sjoberg [aut, cre], Joseph Larmarange [aut], Michael Curry [aut], Jessica Lavery [aut], Karissa Whiting [aut], Emily C. Zabor [aut], Xing Bai [ctb], Esther Drill [ctb], Jessica Flynn [ctb], Margie Hannum [ctb], Stephanie Lobaugh [ctb], Shannon Pileggi [ctb], Amy Tin [ctb], Gustavo Zapata Wainberg [ctb] |
Maintainer: | Daniel D. Sjoberg <danield.sjoberg at gmail.com> |
BugReports: | https://github.com/ddsjoberg/gtsummary/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/ddsjoberg/gtsummary, https://www.danieldsjoberg.com/gtsummary/ |
NeedsCompilation: | no |
Language: | en-US |
Citation: | gtsummary citation info |
Materials: | README NEWS |
In views: | ReproducibleResearch |
CRAN checks: | gtsummary results |
Reference manual: | gtsummary.pdf |
Vignettes: |
Definition of a gtsummary Object (source, R code) |
Package source: | gtsummary_2.0.3.tar.gz |
Windows binaries: | r-devel: gtsummary_2.0.3.zip, r-release: gtsummary_2.0.3.zip, r-oldrel: gtsummary_2.0.3.zip |
macOS binaries: | r-release (arm64): gtsummary_2.0.3.tgz, r-oldrel (arm64): gtsummary_2.0.3.tgz, r-release (x86_64): gtsummary_2.0.3.tgz, r-oldrel (x86_64): gtsummary_2.0.3.tgz |
Old sources: | gtsummary archive |
Reverse imports: | abmR, BSTZINB, gtreg, rUM, stRoke, tidycmprsk |
Reverse suggests: | archetyper, brms.mmrm, broom.helpers, dcurves, equatiomatic, flexlsx, genieBPC, ggstats, LightLogR, logitr, MiscMetabar, nascaR.data, psborrow2, simstudy, smdi |
Please use the canonical form https://CRAN.R-project.org/package=gtsummary to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.