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 = "gt")

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.

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 Nov. 5, 2025, 5:07 p.m.