PAP.adh: Weekly Mean PAP Therapy Usage of OSA Patients in the First 3...
In latrend: A Framework for Clustering Longitudinal Data

PAP.adh

R Documentation

Weekly Mean PAP Therapy Usage of OSA Patients in the First 3 Months

Description

A simulated longitudinal dataset comprising 301 patients with obstructive sleep apnea (OSA) during their first 91 days (13 weeks) of PAP therapy. The longitudinal patterns were inspired by the adherence patterns reported by Yi et al. (2022), interpolated to weekly hours of usage.

Usage

PAP.adh

Format

A data.frame comprising longitudinal data of 500 patients, each having 26 observations over a period of 1 year. Each row represents a patient observation interval (two weeks), with columns:

Patient: integer: The patient identifier, where each level represents a simulated patient.
Week: integer: The week number, starting from 1.
UsageHours: numeric: The mean hours of usage in the respective week. Greater than or equal to zero, and typically around 4-6 hours.
Group: factor: The reference group (i.e., adherence pattern) from which this patient was generated.

\insertRef

yi2022identifyinglatrend

Examples

data(PAP.adh)

if (require("ggplot2")) {
  plotTrajectories(PAP.adh, id = "Patient", time = "Week", response = "UsageHours")

  # plot according to cluster ground truth
  plotTrajectories(
    PAP.adh,
    id = "Patient",
    time = "Week",
    response = "UsageHours",
    cluster = "Group"
  )
}

latrend documentation built on March 31, 2023, 5:45 p.m.