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tableone (version 0.13.2)

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

Description

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.

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Install

install.packages('tableone')

Monthly Downloads

22,791

Version

0.13.2

License

GPL-2

Issues

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Maintainer

Kazuki Yoshida

Last Published

April 15th, 2022

Functions in tableone (0.13.2)

ShowRegTable

Format regression results in medically decent format
kableone

Export TableOne Objects to Markdown
ExtractSmd

Extract standardized mean differences from a (svy)TableOne object
CreateCatTable

Create an object summarizing categorical variables
CreateContTable

Create an object summarizing continous variables
print.CatTable

Format and print CatTable class objects
CreateTableOne

Create an object summarizing both continuous and categorical variables
print.ContTable

Format and print ContTable class objects
print.TableOne

Format and print TableOne class objects
summary.svyCatTable

Shows all results in a svyCatTable class object
svyCreateTableOne

Create an object summarizing both continuous and categorical variables for weighted data
svyCreateCatTable

Create an object summarizing categorical variables for weighted data
summary.svyContTable

Shows all results in a svyContTable class object
svyCreateContTable

Create an object summarizing continous variables for weighted dataset
tableone-package

Create "Table 1" to describe baseline characteristics
summary.TableOne

Shows all results in a (svy)TableOne class object
summary.ContTable

Shows all results in a ContTable class object
print.svyCatTable

Format and print svyCatTable class objects
print.svyContTable

Format and print svyContTable class objects
summary.CatTable

Shows all results in a CatTable class object