An Arsenal of 'R' Functions for Large-Scale Statistical
Summaries
c(
person("Ethan", "Heinzen", email = "heinzen.ethan@mayo.edu", role = c("aut", "cre")),
person("Jason", "Sinnwell", role="aut"),
person("Elizabeth", "Atkinson", role="aut"),
person("Tina", "Gunderson", role="aut"),
person("Gregory", "Dougherty", role="aut"),
person("Patrick", "Votruba", role="ctb"),
person("Emily", "Lundt", role="ctb")
)
An Arsenal of 'R' functions for large-scale statistical summaries,
which are streamlined to work within the latest reporting tools in 'R' and
'RStudio' and which use formulas and versatile summary statistics for summary
tables and models. The primary functions include tableby(), a Table-1-like
summary of multiple variable types 'by' the levels of a categorical
variable; modelsum(), which performs simple model fits on the same endpoint
for many variables (univariate or adjusted for standard covariates);
and freqlist(), a powerful frequency table across many categorical variables.
knitr, rmarkdown, xtable, survival, testthat, coin, pROC,
MASS, gam, rpart
Ethan Heinzen [aut, cre],
Jason Sinnwell [aut],
Elizabeth Atkinson [aut],
Tina Gunderson [aut],
Gregory Dougherty [aut],
Patrick Votruba [ctb],
Emily Lundt [ctb]

c(
person("Ethan", "Heinzen", email = "heinzen.ethan@mayo.edu", role = c("aut", "cre")),
person("Jason", "Sinnwell", role="aut"),
person("Elizabeth", "Atkinson", role="aut"),
person("Tina", "Gunderson", role="aut"),
person("Gregory", "Dougherty", role="aut"),
person("Patrick", "Votruba", role="ctb"),
person("Ryan", "Lennon", role="ctb"),
person("Krista", "Goergen", role="ctb"),
person("Emily", "Lundt", role="ctb")
)
knitr, rmarkdown, xtable, pander, survival, testthat, coin,
pROC, MASS, gam, rpart
Ethan Heinzen [aut, cre],
Jason Sinnwell [aut],
Elizabeth Atkinson [aut],
Tina Gunderson [aut],
Gregory Dougherty [aut],
Patrick Votruba [ctb],
Ryan Lennon [ctb],
Krista Goergen [ctb],
Emily Lundt [ctb]

An Arsenal of 'R' functions for large-scale statistical summaries,
which are streamlined to work within the latest reporting tools in 'R' and
'RStudio' and which use formulas and versatile summary statistics for summary
tables and models. The primary functions include tableby(), a Table-1-like
summary of multiple variable types 'by' the levels of a categorical
variable; modelsum(), which performs simple model fits on the same endpoint
for many variables (univariate or adjusted for standard covariates);
freqlist(), a powerful frequency table across many categorical variables; and
write2(), a function to output tables to a document.