create_fake_subjectDB_clustered: Create a fake subject database with clustering

In PascalCrepey/HospitalNetwork: Building Networks of Hospitals Through Patients Transfers

Create a fake subject database with clustering

Description

Create a fake subject database with clustering

Usage

create_fake_subjectDB_clustered(
  n_subjects = 50,
  n_facilities = 10,
  avg_n_stays = 3,
  days_since_discharge = NULL,
  length_of_stay = NULL,
  n_clusters = 3
)

Arguments

n_subjects	the number of different subjects in the database
n_facilities	the number of facility present in the database
avg_n_stays	the average number of stays per subject
days_since_discharge	the number of days between a discharge date and an admission date (default: max(0, rnorm(1, mean = 30, sd = 10)))
length_of_stay	the length of stay (default: max(1, rnorm(1, mean = 5, sd = 3) )
n_clusters	the number of cluster in the network

Value

a data.table containing all subjects stays

Examples

mydb <- create_fake_subjectDB_clustered(n_subjects = 100, n_facilities = 10)
mydb

PascalCrepey/HospitalNetwork documentation built on March 7, 2023, 5:41 a.m.