tableTopLargeScaleCharacteristics: Visualise the top concepts per each cdm name, cohort,...

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

Visualise the top concepts per each cdm name, cohort, statification and window.

Description

Visualise the top concepts per each cdm name, cohort, statification and window.

Usage

tableTopLargeScaleCharacteristics(
  result,
  topConcepts = 10,
  type = NULL,
  style = NULL
)

Arguments

result	A summarised_result object.
topConcepts	Number of concepts to restrict the table.
type	Type of table, it can be any of the supported visOmopResults::tableType() formats.
style	Defines the visual formatting of the table. This argument can be provided in one of the following ways: Pre-defined style: Use the name of a built-in style (e.g., "darwin"). See visOmopResults::tableStyle() for available options. YAML file path: Provide the path to an existing .yml file defining a new style. List of custome R code: Supply a block of custom R code or a named list describing styles for each table section. This code must be specific to the selected table type. If style = NULL, the function will use global options (see visOmopResults::setGlobalTableOptions()) or an existing ⁠_brand.yml⁠ file (if found); otherwise, the default style is applied. For more details, see the Styles vignette in visOmopResults website.

Value

A formated table.

Examples

## Not run: 
library(CohortCharacteristics)
library(omock)
libarry(CDMConnector)
library(dplyr, warn.conflicts = FALSE)

cdm <- mockCdmFromDataset(datasetName = "GiBleed", source = "duckdb")

cdm <- generateConceptCohortSet(
  cdm = cdm,
  conceptSet = list(viral_pharyngitis = 4112343),
  name = "my_cohort"
)

result <- summariseLargeScaleCharacteristics(
  cohort = cdm$my_cohort,
  window = list(c(-Inf, -1), c(0, 0), c(1, Inf)),
  episodeInWindow = "drug_exposure"
)

tableTopLargeScaleCharacteristics(result)

cdmDisconnect(cdm)

## End(Not run)

CohortCharacteristics documentation built on Jan. 28, 2026, 5:07 p.m.