Create a ggplot of the records' count trend.

Usage

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

Arguments

result: Output from summariseRecordCount().
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 ggplot showing the table counts

Examples

# \donttest{
# Connect to a mock dabatase
cdm <- mockOmopSketch()

# Run summarise clinical tables
summarisedResult <- summariseRecordCount(cdm = cdm,
                                         omopTableName = "condition_occurrence",
                                         unit = "year",
                                         unitInterval = 10,
                                         ageGroup = list("<=20" = c(0,20), ">20" = c(21, Inf)),
                                         sex = TRUE)
plotRecordCount(summarisedResult, facet = sex + age_group ~ .)

PatientProfiles::mockDisconnect(cdm = cdm)
# }