plotComparedLargeScaleCharacteristics: 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

plotComparedLargeScaleCharacteristics(
  result,
  reference,
  missings = 0,
  facet = NULL,
  colour = NULL
)

Arguments

result	A summarised_result object.
reference	A named character to set up the reference.
missings	Value to replace the missing value with. If NULL missing values will be eliminated.
facet	Columns to facet by. See options with availablePlotColumns(result). Formula is also allowed to specify rows and columns.
colour	Columns to color by. See options with availablePlotColumns(result).

Value

A ggplot.

Examples

## Not run: 
library(CohortCharacteristics)
library(duckdb)
library(CDMConnector)
library(DrugUtilisation)
library(plotly, warn.conflicts = FALSE)

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 |>
  plotComparedLargeScaleCharacteristics(
    reference = c(variable_level = "-365 to -1"),
    colour = "variable_name",
    missings = NULL
  ) |>
  ggplotly()

cdmDisconnect(cdm)

## End(Not run)

CohortCharacteristics documentation built on April 3, 2025, 10:29 p.m.