DrugUtilisation (version 1.0.5)

plotIndication: Generate a plot visualisation (ggplot2) from the output of summariseIndication

Description

Generate a plot visualisation (ggplot2) from the output of summariseIndication

Usage

plotIndication(
  result,
  x = "variable_level",
  position = "stack",
  facet = cdm_name + cohort_name ~ window_name,
  colour = "variable_level",
  style = NULL
)

Value

A ggplot2 object

Arguments

result

A summarised_result object.

x

Variable to plot on x-axis

position

Position of bars, can be either dodge or stack

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).

style

Visual theme to apply. Character, or NULL. If a character, this may be either the name of a built-in style (see plotStyle()), or a path to a .yml file that defines a custom style. If NULL, the function will use the explicit default style, unless a global style option is set (see visOmopResults::setGlobalPlotOptions()) or a _brand.yml file is present (in that order). Refer to the visOmopResults package vignette on styles to learn more.

Examples

# \donttest{
library(DrugUtilisation)
library(CDMConnector)

cdm <- mockDrugUtilisation(source = "duckdb")

indications <- list(headache = 378253, asthma = 317009)
cdm <- generateConceptCohortSet(cdm = cdm,
                                conceptSet = indications,
                                name = "indication_cohorts")

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

result <- cdm$drug_cohort |>
  summariseIndication(
    indicationCohortName = "indication_cohorts",
    unknownIndicationTable = "condition_occurrence",
    indicationWindow = list(c(-Inf, 0), c(-365, 0))
  )

plotIndication(result)

plotIndication(result, x = "window_name", facet = NULL)
# }