Package: tableone 0.13.2

tableone: Create 'Table 1' to Describe Baseline Characteristics with or without Propensity Score Weights

Creates 'Table 1', i.e., description of baseline patient characteristics, which is essential in every medical research. Supports both continuous and categorical variables, as well as p-values and standardized mean differences. Weighted data are supported via the 'survey' package.

Authors:Kazuki Yoshida [cre, aut], Alexander Bartel [ctb, aut], Jonathan J Chipman [ctb], Justin Bohn [ctb], Lucy DAgostino McGowan [ctb], Malcolm Barrett [ctb], Rune Haubo B Christensen [ctb], gbouzill [ctb]

tableone_0.13.2.tar.gz
tableone_0.13.2.zip(r-4.7-any)tableone_0.13.2.zip(r-4.6-any)tableone_0.13.2.zip(r-4.5-any)
tableone_0.13.2.tgz(r-4.6-any)tableone_0.13.2.tgz(r-4.5-any)
tableone_0.13.2.tar.gz(r-4.7-any)tableone_0.13.2.tar.gz(r-4.6-any)
tableone_0.13.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
tableone/json (API)

# Install 'tableone' in R:

install.packages('tableone', repos = c('https://kaz-yos.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kaz-yos/tableone/issues

On CRAN:

baseline-characteristics descriptive-statistics statistics

13.75 score 236 stars 14 packages 3.4k scripts 19k downloads 78 mentions 9 exports 52 dependencies

Last updated from:e2e7cccdc8. Checks:2 NOTE, 7 OK. Indexed: yes.

Target	Result	Time
linux-devel	NOTE	199
source / vignettes	OK	220
linux-release	OK	162
macos-release	OK	240
macos-oldrel	OK	220
windows-devel	NOTE	174
windows-release	OK	131
windows-oldrel	OK	165
wasm-release	OK	99

Exports:CreateCatTable CreateContTable CreateTableOne ExtractSmd kableone ShowRegTable svyCreateCatTable svyCreateContTable svyCreateTableOne

Dependencies:bit bit64 class cli clipr cpp11 crayon DBI dplyr e1071 forcats gdata generics glue gmodels gtools haven hms labelled lattice lifecycle magrittr MASS Matrix minqa mitools nlme numDeriv pillar pkgconfig prettyunits progress proxy purrr R6 Rcpp RcppArmadillo readr rlang stringi stringr survey survival tibble tidyr tidyselect tzdb utf8 vctrs vroom withr zoo

Using standardized mean differences

Rendered fromsmd.Rmdusingknitr::rmarkdown

Last update: 2022-03-27
Started: 2015-08-10

Introduction to tableone

Rendered fromintroduction.Rmdusingknitr::rmarkdown

Last update: 2021-07-04
Started: 2014-12-29

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Create "Table 1" to describe baseline characteristics	tableone-package tableone
Create an object summarizing categorical variables	CreateCatTable
Create an object summarizing continous variables	CreateContTable
Create an object summarizing both continuous and categorical variables	CreateTableOne
Extract standardized mean differences from a (svy)TableOne object	ExtractSmd
Export TableOne Objects to Markdown	kableone
Format and print 'CatTable' class objects	print.CatTable
Format and print 'ContTable' class objects	print.ContTable
Format and print 'svyCatTable' class objects	print.svyCatTable
Format and print 'svyContTable' class objects	print.svyContTable
Format and print 'TableOne' class objects	print.TableOne
Format regression results in medically decent format	ShowRegTable
Shows all results in a 'CatTable' class object	summary.CatTable
Shows all results in a 'ContTable' class object	summary.ContTable
Shows all results in a 'svyCatTable' class object	summary.svyCatTable
Shows all results in a 'svyContTable' class object	summary.svyContTable
Shows all results in a '(svy)TableOne' class object	summary.TableOne
Create an object summarizing categorical variables for weighted data	svyCreateCatTable
Create an object summarizing continous variables for weighted dataset	svyCreateContTable
Create an object summarizing both continuous and categorical variables for weighted data	svyCreateTableOne