create_fake_subjectDB_clustered function

Create a fake subject database with clustering

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

Returns

a data.table containing all subjects stays

Examples

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