MeasurementDiagnostics (version 0.1.0)

plotMeasurementTimings: Plot summariseMeasurementTiming results.

Description

Plot summariseMeasurementTiming results.

Usage

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

Value

A ggplot.

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" 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)`.

Examples

# \donttest{
library(MeasurementDiagnostics)
cdm <- mockMeasurementDiagnostics()
result <- summariseMeasurementUse(
              cdm = cdm,
              codes = list("test_codelist" = c(3001467L, 45875977L))
           )
result |>
  dplyr::filter(variable_name == "time") |>
  plotMeasurementTimings()
CDMConnector::cdmDisconnect(cdm)
# }