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")