c(person(given = "Daniel D.",
family = "Sjoberg",
role = c("aut", "cre"),
email = "danield.sjoberg@gmail.com"),
person(given = "Emily C.",
family = "Zabor",
role = "aut"))
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 many types
of statistics presented in any pattern.
Regression models are summarized including the reference row for
categorical independent variables. Function defaults follow
reporting guidelines outlined in Assel, Sjoberg, et al. (2019)
<doi:10.1016/j.eururo.2018.12.014>.
Daniel D. Sjoberg [aut, cre],
Emily C. Zabor [aut]

Presentation-Ready Data Summary and Analytic Result Tables
c(person(given = "Daniel D.",
family = "Sjoberg",
role = c("aut", "cre"),
email = "danield.sjoberg@gmail.com",
comment = c(ORCID = "0000-0003-0862-2018")),
person(given = "Margie",
family = "Hannum",
role = "aut",
comment = c(ORCID = "0000-0002-2953-0449")),
person(given = "Karissa",
family = "Whiting",
role = "aut",
comment = c(ORCID = "0000-0002-4683-1868")),
person(given = "Emily C.",
family = "Zabor",
role = "aut",
comment = c(ORCID = "0000-0002-1402-4498")),
person(given = "Michael",
family = "Curry",
role = "ctb",
comment = c(ORCID = "0000-0002-0261-4044")),
person(given = "Esther",
family = "Drill",
role = "ctb",
comment = c(ORCID = "0000-0002-3315-4538")),
person(given = "Jessica",
family = "Flynn",
role = "ctb",
comment = c(ORCID = "0000-0001-8310-6684")))
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. The package is enhanced when the 'gt' package is installed.
Use this code to install: 'remotes::install_github("rstudio/gt")'.