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tableone (version 0.12.0)

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. See 'github' for a screen cast.

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Install

install.packages('tableone')

Monthly Downloads

19,593

Version

0.12.0

License

GPL-2

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Maintainer

Kazuki Yoshida

Last Published

July 26th, 2020

Functions in tableone (0.12.0)

ShowRegTable

Format regression results in medically decent format
ExtractSmd

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

Create an object summarizing categorical variables
print.svyCatTable

Format and print svyCatTable class objects
CreateTableOne

Create an object summarizing both continuous and categorical variables
CreateContTable

Create an object summarizing continous variables
print.CatTable

Format and print CatTable class objects
kableone

Export TableOne Objects to Markdown
print.TableOne

Format and print TableOne class objects
print.ContTable

Format and print ContTable class objects
svyCreateTableOne

Create an object summarizing both continuous and categorical variables for weighted data
summary.svyCatTable

Shows all results in a svyCatTable class object
summary.svyContTable

Shows all results in a svyContTable class object
summary.ContTable

Shows all results in a ContTable class object
summary.TableOne

Shows all results in a (svy)TableOne class object
svyCreateCatTable

Create an object summarizing categorical variables for weighted data
svyCreateContTable

Create an object summarizing continous variables for weighted dataset
summary.CatTable

Shows all results in a CatTable class object
tableone-package

Create "Table 1" to describe baseline characteristics
print.svyContTable

Format and print svyContTable class objects