MeasurementDiagnostics (version 0.0.1)

plotMeasurementValueAsConcept: 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))
)

Value

A ggplot.

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)`.

Examples

# \donttest{
library(MeasurementDiagnostics)
cdm <- mockMeasurementDiagnostics()
result <- summariseMeasurementUse(
              cdm = cdm,
              bySex = TRUE,
              codes = list("test_codelist" = c(3001467L, 45875977L)))
plotMeasurementValueAsConcept(result)
CDMConnector::cdmDisconnect(cdm)
# }