tableTopConceptCounts: Create a visual table of the most common concepts from...

In OmopSketch: Characterise Tables of an OMOP Common Data Model Instance

Create a visual table of the most common concepts from summariseConceptIdCounts() output

Description

This function takes a summarised_result object and generates a formatted table highlighting the most frequent concepts.

Usage

tableTopConceptCounts(
  result,
  top = 10,
  countBy = NULL,
  type = NULL,
  style = NULL
)

Arguments

result	A summarised_result object (output of summariseConceptIdCounts()).
top	Integer. The number of top concepts to display. Defaults to 10.
countBy	Either 'person' or 'record'. If NULL whatever is in the data is used.
type	Character string specifying the desired output table format. See visOmopResults::tableType() for supported table types. If type = NULL, global options (set via visOmopResults::setGlobalTableOptions()) will be used if available; otherwise, a default 'gt' table is created.
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 (seevisOmopResults::setGlobalTableOptions()) or a _brand.yml file (if found); otherwise, the default style is applied.

Value

A formatted table visualisation.

Examples

library(OmopSketch)
library(omock)

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

result <- summariseConceptIdCounts(cdm = cdm, omopTableName = "condition_occurrence")

tableTopConceptCounts(result = result, top = 5)

cdmDisconnect(cdm = cdm)

OmopSketch documentation built on Aug. 27, 2026, 5:07 p.m.