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.
- Version2.0.3
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- gtsummary citation info
- Last release10/04/2024
Documentation
Team
Daniel D. Sjoberg
MaintainerShow author detailsJoseph Larmarange
Show author detailsRolesAuthorKarissa Whiting
Show author detailsRolesAuthorShannon Pileggi
Show author detailsRolesContributorEmily C. Zabor
Show author detailsRolesAuthorMichael Curry
Jessica Lavery
Xing Bai
Show author detailsRolesContributorEsther Drill
Jessica Flynn
Margie Hannum
Stephanie Lobaugh
Show author detailsRolesContributorAmy Tin
Gustavo Zapata Wainberg
Insights
Last 30 days
This package has been downloaded 47,295 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 700 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 458,544 times in the last 365 days. Practically an academic rockstar! That's enough downloads to cause murmurs at international conferences. The day with the most downloads was Sep 02, 2024 with 2,919 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports8 packages
- Suggests29 packages
- Reverse Imports6 packages
- Reverse Suggests15 packages