plotMeasurementValueAsConcept: Plot summariseMeasurementTiming results.

In MeasurementDiagnostics: Diagnostics for Lists of Codes Based on Measurements

Plot summariseMeasurementTiming results.

Description

Plot summariseMeasurementTiming results.

Usage

plotMeasurementValueAsConcept(
  result,
  x = "count",
  y = "codelist_name",
  facet = c("cdm_name"),
  colour = c("concept_name", "variable_level", visOmopResults::strataColumns(result)),
  style = NULL
)

Arguments

result	A summarised_result object.
x	Columns to use as horizontal axes. See options with 'visOmopResults::plotColumns(result)'.
y	Columns to use as horizontal axes. See options with 'visOmopResults::plotColumns(result)'.
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)

cdm <- mockMeasurementDiagnostics()

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

plotMeasurementValueAsConcept(result)

CDMConnector::cdmDisconnect(cdm)

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