MeasurementDiagnostics (version 0.2.0)

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)),
  style = NULL
)

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)`.

style

Pre-defined style to apply: "default" or "darwin" - the latter just for gt and flextable. If NULL the "default" style is used.

Examples

# \donttest{
library(MeasurementDiagnostics)

cdm <- mockMeasurementDiagnostics()

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

plotMeasurementValueAsConcept(result)

CDMConnector::cdmDisconnect(cdm)
# }