JangTable

Functions for efficient clinical data analyses and tables. Various table functions are included for time-saving tables production.

Lists of tables available

Tables

• baseTable(): A table for baseline characteristics.

  • data: data for calculation
  • include: Variables that would be displayed in the baseline characteristics table.
  • by: A category variable for aggregating by each categories.
  • median.vars: Continuous variables to calculate median and IQR.
  • binary.var: Binary / Dichotomous variables to show only one category.
  • by.order: The order of categories shown in the baseline characteristics table.
  • total: Whether include total characteristics of variables. The default is TRUE.
  • digits: Digits of aggregated values. The default is 1.
  • p.digits: Digits of p-values. The default is 3.

• varMissTable(): A table for Missing value count & proportions.

  • data: Data for calculation
  • include: Variables to check frequencies and proportions of NA.

• subgroupTable(): A table for subgroup analyses.

  • data
  • fit: A logistic or Cox regression model.
  • treatment: A variable that could divide case & control group. Must be factor variables.
  • subgroup: Categorical Variable(s) for the subgroup analysis. Must be factor variables.
  • digits: Digits of printed values.

• uniTable(): Integrated univariable tables

• multTable(): Integrated multivariable tables

• lrUniTable(): Univariable Logistic regression

• lrMultTable(): Multivariable Logistic regression

• lrTableCombine(): Merged(Univariable & Multivariable) Logistic regression

• coxUniTable(): Univariable Cox regression

• coxMultTable(): Multivariable Cox regression

• coxTableCombine(): Merged(Univariable & Multivariable) Cox regression

Integrated regression

• uniReg() : Univariable logistic or Cox regression
• multReg(): Multivariable logistic or Cox regression

Installation

# Install a stable development version from GitHub (requires compilation)
remotes::install_github("rchemist0123/JangTable")