HospitalNetwork (version 0.9.4)

create_fake_subjectDB_clustered: 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
)

Value

a data.table containing all subjects stays

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

Examples

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