get_comprehensiveness: get_comprehensiveness

In symptomcheckR: Analyzing and Visualizing Symptom Checker Performance

get_comprehensiveness

Description

Calculates the comprehensiveness for one or multiple symptom checkers

Usage

get_comprehensiveness(
  data,
  triagelevel_advice,
  vector_not_entered,
  apps = NULL,
  CI = FALSE
)

Arguments

data	A dataframe
triagelevel_advice	A string indicating the column name storing the recommendation of a symptom checker for a case
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)
apps	A string indicating the column name storing the app names
CI	A Boolean (TRUE or FALSE) indicating whether 95% confidence intervals should be output (optional)

Value

A list containing both a raw number and the percentage of comprehensiveness for one or multiple symptom checkers

Examples

data(symptomcheckRdata)
comprehensiveness <- get_comprehensiveness(
  data = symptomcheckRdata,
  triagelevel_advice = "Triage_advice_from_app",
  vector_not_entered = c(NA),
  apps = "App_name",
  CI = TRUE
  )

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