Step 2: Generate Table 1 for Cohort Study

This function generates a descriptive table for clinical cohort studies, with options to stratify by group and perform group comparisons.

Usage

leo.table1.step2(
  df,
  var_all,
  var_cat,
  var_non,
  strata = NULL,
  var_exact = NULL,
  compare_test = F,
  includeNA = F,
  showAllLevels = F,
  labelNA = NULL,
  verbose = T
)

Arguments

df

A data frame or tibble containing the clinical variables.

var_all

Vector. All var to be included in table 1

var_cat

Vector. Categorical variables.

var_non

Vector. Non-normal continuous variables. (Process in print)

strata

Character, the column name to stratify by. Use "none" to disable stratification.

var_exact

Vector. var_cat that needs fisher exact test. (Process in print)

compare_test

Logical, if TRUE, performs group comparison (only works when strata is not "none").

includeNA

Logical, if TRUE, includes NAs as a level in categorical variables.

showAllLevels

Logical, if TRUE, all levels of factor variables are shown.

labelNA

Character or NULL. If not NULL, replaces NA in categorical variables with this label (e.g., "Miss Value") and ensures it appears as the last level.

verbose

Logical, if TRUE, prints the table.

Value

Printed table1