Create a ggplot2 plot from the output of summariseTrend().

Usage

plotTrend(
  result,
  output = NULL,
  facet = "type",
  colour = NULL,
  style = "default"
)

Arguments

result

A summarised_result object (output of summariseTrend).

output

The output to plot. Accepted values are: "record", "person", "person-days", "age", and "sex". If not specified, the function will default to:

the only available output if there is just one in the results, or
"record" if multiple outputs are present.

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().

style

Which style to apply to the plot, options are: "default", "darwin" and NULL (default ggplot style). Customised styles can be achieved by modifying the returned ggplot object.

Value

A ggplot showing the table counts

Examples

# \donttest{
library(dplyr)
library(OmopSketch)

cdm <- mockOmopSketch()

result <- summariseTrend(cdm,
  episode = "observation_period",
  output = c("person-days", "record"),
  interval = "years",
  ageGroup = list("<=40" = c(0, 40), ">40" = c(41, Inf)),
  sex = TRUE
)

plotTrend(result, output = "record", colour = "sex", facet = "age_group")



PatientProfiles::mockDisconnect(cdm)
# }