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)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union

cdm <- mockOmopSketch()

result <- cdm |>
  summariseConceptCounts(
    conceptId = list(
      "Renal agenesis" = 194152,
      "Manic mood" = c(4226696, 4304866, 37110496, 40371897)
    )
  )
#> ℹ Getting concept counts of Renal agenesis
#> ℹ Getting concept counts of Manic mood

result |>
  filter(variable_name == "Number subjects") |>
  plotConceptCounts(facet = "codelist_name", colour = "standard_concept_name")
#> ! Multiple values of `standard_concept_id` and `count` detected, consider
#>   including them in either: `x`, `facet`, and `colour`.


PatientProfiles::mockDisconnect(cdm)
# }