plotLargeScaleCharacteristics: create a ggplot from the output of...

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

create a ggplot from the output of summariseLargeScaleCharacteristics.

Description

Usage

plotLargeScaleCharacteristics(
  result,
  facet = c("cdm_name", "cohort_name"),
  colour = "variable_level"
)

Arguments

result	A summarised_result object. Output of summariseLargeScaleCharacteristics().
facet	Columns to facet by. See options with tidyColumns(result). Formula is also allowed to specify rows and columns.
colour	Columns to color by. See options with tidyColumns(result).

Value

A ggplot2 object.

Examples

## Not run: 
library(CohortCharacteristics)
library(duckdb)
library(CDMConnector)
library(DrugUtilisation)

con <- dbConnect(duckdb(), eunomiaDir())
cdm <- cdmFromCon(con, cdmSchem = "main", writeSchema = "main")

cdm <- generateIngredientCohortSet(
  cdm = cdm, name = "my_cohort", ingredient = "acetaminophen"
)

resultsLsc <- cdm$my_cohort |>
  summariseLargeScaleCharacteristics(
    window = list(c(-365, -1), c(1, 365)),
    eventInWindow = "condition_occurrence"
  )

resultsLsc |>
  plotLargeScaleCharacteristics(
    facet = c("cdm_name", "cohort_name"),
    colour = "variable_level"
  )

cdmDisconnect(cdm)

## End(Not run)

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