plotMeasurementSummary: Plot summariseMeasurementTiming results.

In MeasurementDiagnostics: Diagnostics for Lists of Codes Based on Measurements

Plot summariseMeasurementTiming results.

Description

Plot summariseMeasurementTiming results.

Usage

plotMeasurementSummary(
  result,
  y = "time",
  plotType = "boxplot",
  timeScale = "days",
  facet = visOmopResults::strataColumns(result),
  colour = c("cdm_name", "codelist_name"),
  style = NULL
)

Arguments

result	A summarised_result object.
y	Variable to plot on y axis, it can be "time" or "measurements_per_subject".
plotType	Type of plot, either "boxplot", "barplot", or "densityplot".
timeScale	Time scale to show, it can be "days" or "years".
facet	Columns to facet by. See options with 'visOmopResults::plotColumns(result)'. Formula input is also allowed to specify rows and columns.
colour	Columns to color by. See options with 'visOmopResults::plotColumns(result)'.
style	Pre-defined style to apply: "default" or "darwin" - the latter just for gt and flextable. If NULL the "default" style is used.

Value

A ggplot.

Examples

library(MeasurementDiagnostics)
library(dplyr)

cdm <- mockMeasurementDiagnostics()

result <- summariseMeasurementUse(
  cdm = cdm,
  codes = list("test_codelist" = c(3001467L, 45875977L))
)

result |>
  filter(variable_name == "time") |>
  plotMeasurementSummary()

CDMConnector::cdmDisconnect(cdm)

MeasurementDiagnostics documentation built on Dec. 17, 2025, 5:10 p.m.