create_fake_subjectDB_clustered: Create a fake subject database with clustering

Description Usage Arguments Value

View source: R/FakePatientsDB.R

Description

Create a fake subject database with clustering

Usage

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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


PascalCrepey/HospitalNetwork documentation built on Sept. 16, 2020, 9:56 p.m.