plot_performance_multiple: plot_performance_multiple

In symptomcheckR: Analyzing and Visualizing Symptom Checker Performance

plot_performance_multiple

Description

Plots the all performance metrics for all symptom checkers in dataframe

Usage

plot_performance_multiple(
  data,
  triagelevel_correct,
  triagelevel_advice,
  order_triagelevel,
  vector_not_entered,
  vignettes,
  apps
)

Arguments

data	A dataframe
triagelevel_correct	A string indicating the column name storing the correct triage solutions
triagelevel_advice	A string indicating the column name storing the recommendation of a symptom checker for a case
order_triagelevel	A vector indicating the order of triage levels. The triage level with highest urgency should be the first value and the triage level with lowest urgency the last value.
vector_not_entered	A vector indicating the values in which missing values are coded (e.g., as NA or a specified value such as -99)
vignettes	A string indicating the column name storing the vignette or vignette number
apps	A string indicating the column name storing the app names

Value

A ggplot object visualizing all performance metrics for all symptom checkers in dataframe

Examples

data(symptomcheckRdata)
performance_plot <- plot_performance_multiple(
  data = symptomcheckRdata,
  triagelevel_correct = "Goldstandard_solution",
  triagelevel_advice = "Triage_advice_from_app",
  order_triagelevel = c("Emergency", "Non-Emergency", "Self-care"),
  vector_not_entered = c(NA),
  vignettes = "Vignette_id",
  apps = "App_name"
  )

symptomcheckR documentation built on May 29, 2024, 4:47 a.m.