process_variable: Process variable wrapper

In summata: Publication-Ready Summary Tables and Forest Plots

Process variable wrapper

Description

Routes variable processing to appropriate handler based on variable type (continuous, categorical, or survival). Returns both formatted display strings and raw numeric values.

Usage

process_variable(
  data,
  var,
  group_var = NULL,
  stats_continuous,
  stats_categorical,
  digits,
  conf_level = 0.95,
  na_include,
  na_label,
  test,
  test_continuous,
  test_categorical,
  total,
  total_label,
  labels,
  na_percent,
  p_per_stat = FALSE,
  marks = NULL,
  ...
)

Arguments

data	Data.table containing the variable.
var	Character string naming the variable to process.
group_var	Optional character string naming the grouping variable.
stats_continuous	Character vector of statistics for continuous variables.
stats_categorical	Character vector of statistics for categorical variables.
digits	Integer number of decimal places for continuous statistics.
conf_level	Numeric confidence level for survival confidence intervals.
na_include	Logical whether to include missing values as a category.
na_label	Character string label for missing values.
test	Logical whether to perform statistical tests.
test_continuous	Character string specifying test type for continuous variables.
test_categorical	Character string specifying test type for categorical variables.
total	Logical or character controlling total column display.
total_label	Character string label for total column.
labels	Named character vector of variable labels.
na_percent	Logical whether to include NA in percentage denominators.
p_per_stat	Logical whether to show separate p-values per statistic for continuous variables. Default FALSE for better performance.
marks	List with big.mark and decimal.mark as returned by resolve_number_marks.
...	Additional arguments passed to test functions.

Value

List with 'formatted' and 'raw' data.table components.

summata documentation built on May 7, 2026, 5:07 p.m.