tableCohortAttrition: Create a visual table from the output of...

In CohortCharacteristics: Summarise and Visualise Characteristics of Patients in the OMOP CDM

Create a visual table from the output of summariseCohortAttrition.

Description

Usage

tableCohortAttrition(
  result,
  type = "gt",
  header = "variable_name",
  groupColumn = c("cdm_name", "cohort_name"),
  hide = c("variable_level", "reason_id", "estimate_name", settingsColumns(result)),
  .options = list()
)

Arguments

result	A summarised_result object.
type	Type of table. Check supported types with visOmopResults::tableType().
header	Columns to use as header. See options with availableTableColumns(result).
groupColumn	Columns to group by. See options with availableTableColumns(result).
hide	Columns to hide from the visualisation. See options with availableTableColumns(result).
.options	A named list with additional formatting options. visOmopResults::tableOptions() shows allowed arguments and their default values.

Value

A formatted table.

Examples

library(CohortCharacteristics)

cdm <- mockCohortCharacteristics()

result <- summariseCohortAttrition(cdm$cohort2)

tableCohortAttrition(result)

CohortCharacteristics documentation built on Nov. 5, 2025, 5:07 p.m.