Explore and compare the large scale characteristics of cohorts

Usage

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

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.

Value

A visual table.

Examples

if (FALSE) { # \dontrun{
library(CohortCharacteristics)
library(duckdb)
library(CDMConnector)
library(dplyr, warn.conflicts = FALSE)

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,
  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)
} # }