tableLargeScaleCharacteristics: Format a summarise_large_scale_characteristics object into a...

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

Format a summarise_large_scale_characteristics object into a visual table.

Description

Usage

tableLargeScaleCharacteristics(
  result,
  topConcepts = NULL,
  type = "gt",
  header = c("cdm_name", "cohort_name", visOmopResults::strataColumns(result),
    "variable_level"),
  groupColumn = c("table_name", "type", "analysis"),
  hide = character()
)

Arguments

result	A summarised_result object. Output of summariseLargeScaleCharacteristics().
topConcepts	Number of concepts to restrict the table.
type	Type of table. Check supported types with visOmopResults::tableType().
header	Columns to use as header. See options with tidyColumns(result).
groupColumn	Columns to group by. See options with tidyColumns(result).
hide	Columns to hide from the visualisation. See options with tidyColumns(result).

Value

A formatted table.

Examples

## Not run: 
library(DBI)
library(duckdb)
library(CDMConnector)

con <- dbConnect(duckdb(), eunomiaDir())
cdm <- cdmFromCon(con = con, cdmSchema = "main", writeSchema = "main")
cdm <- generateConceptCohortSet(
  cdm = cdm,
  conceptSet = list("viral_pharyngitis" = 4112343),
  name = "my_cohort"
)

result <- summariseLargeScaleCharacteristics(
  cohort = cdm$my_cohort,
  eventInWindow = "condition_occurrence",
  episodeInWindow = "drug_exposure"
)

tableLargeScaleCharacteristics(result)

cdmDisconnect(cdm)

## End(Not run)

CohortCharacteristics documentation built on Oct. 1, 2024, 5:08 p.m.