plotCohortCount: Plot the result of summariseCohortCount.

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

Plot the result of summariseCohortCount.

Description

Usage

plotCohortCount(result, x = NULL, facet = c("cdm_name"), colour = NULL)

Arguments

result	A summarised_result object. Output of summariseCohortCount().
x	Variables to use in x axis.
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 ggplot.

Examples

library(CohortCharacteristics)
library(PatientProfiles)
library(dplyr, warn.conflicts = FALSE)

cdm <- mockCohortCharacteristics(numberIndividuals = 100)

counts <- cdm$cohort2 |>
  addSex() |>
  addAge(ageGroup = list(c(0, 29), c(30, 59), c(60, Inf))) |>
  summariseCohortCount(strata = list("age_group", "sex", c("age_group", "sex"))) |>
  filter(variable_name == "Number subjects")

counts |>
  plotCohortCount(
    x = "sex",
    facet = cohort_name ~ age_group,
    colour = "sex"
  )

mockDisconnect(cdm)

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