Create a fake subject database
Usage
create_fake_subjectDB(
n_subjects = 100,
n_facilities = 10,
avg_n_stays = 3,
days_since_discharge = NULL,
length_of_stay = NULL,
start_id_subjects = 1,
start_id_facilities = 1,
with_errors = FALSE
)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) )
- start_id_subjects, start_id_facilities
change starting ids (used for clustered network)
- with_errors
(boolean) introduce or not random errors in the database. Default to FALSE.
Examples
mydb <- create_fake_subjectDB(n_subjects = 100, n_facilities = 10)
mydb
#> sID fID Adate Ddate
#> <char> <char> <POSc> <POSc>
#> 1: s001 f08 2019-01-31 2019-02-08
#> 2: s001 f05 2019-02-28 2019-03-11
#> 3: s002 f07 2019-02-01 2019-02-06
#> 4: s002 f08 2019-03-08 2019-03-11
#> 5: s003 f07 2019-02-08 2019-02-11
#> ---
#> 238: s098 f07 2019-04-15 2019-04-20
#> 239: s099 f03 2019-01-25 2019-02-04
#> 240: s099 f05 2019-03-18 2019-03-25
#> 241: s100 f08 2019-01-30 2019-01-31
#> 242: s100 f08 2019-03-07 2019-03-13