Plot the concept counts of a summariseConceptCounts output.

Usage

plotConceptCounts(result, facet = NULL, colour = NULL)

Arguments

result: A summarised_result object (output of summariseConceptCounts).
facet: Columns to face by. Formula format can be provided. See possible columns to face by with: visOmopResults::tidyColumns().
colour: Columns to colour by. See possible columns to colour by with: visOmopResults::tidyColumns().

Value

A ggplot2 object showing the concept counts.

Examples

# \donttest{
library(dplyr, warn.conflicts = FALSE)

cdm <- mockOmopSketch()

result <- cdm |>
  summariseConceptCounts(
    conceptId = list(
      "Renal agenesis" = 194152,
      "Manic mood" = c(4226696, 4304866, 37110496, 40371897)
    )
  )
#> ℹ Getting use of codes from Renal agenesis
#> Getting use of codes ■■■■■■■■■■■■■■■■                  50% | ETA:  2s
#> ℹ Getting use of codes from Manic mood
#> Getting use of codes ■■■■■■■■■■■■■■■■                  50% | ETA:  2s

#> Getting use of codes ■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■■  100% | ETA:  0s

result |>
  filter(estimate_name == "person_count", variable_name == "overall") |>
  plotConceptCounts(facet = "codelist_name", colour = "codelist_name")
#> ! The following column type were changed:
#> • variable_name: from integer to character


PatientProfiles::mockDisconnect(cdm)
# }