CohortCharacteristics (version 1.1.1)

tableLargeScaleCharacteristics: Explore and compare the large scale characteristics of cohorts

Description

Explore and compare the large scale characteristics of cohorts

Usage

tableLargeScaleCharacteristics(
  result,
  compareBy = NULL,
  hide = c("type"),
  smdReference = NULL,
  type = "reactable"
)

Value

A visual table.

Arguments

result

A summarised_result object.

compareBy

A column to compare by it can be a choice between "cdm_name", "cohort_name", strata columns, "variable_level" (window) and "type". It can be left NULL for no comparison.

hide

Columns to hide.

smdReference

Level of reference for the Standardised Mean Differences (SMD), it has to be one of the values of compareBy column. If NULL no SMDs are displayed.

type

Type of table to generate, it can be either DT or reactable.

Examples

if (FALSE) {
library(CohortCharacteristics)
library(omock)
library(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"
)

tableLargeScaleCharacteristics(result)

tableLargeScaleCharacteristics(result,
                               compareBy = "variable_level")

tableLargeScaleCharacteristics(result,
                               compareBy = "variable_level",
                               smdReference = "-inf to -1")

cdmDisconnect(cdm)
}