Create a set of dummy data to put through the functions of the package

Usage

create_dummy_data(
  type,
  max_months_waited,
  number_periods,
  referral_values = 9000:12000,
  max_incompletes = 10000,
  max_treatments = 500,
  seed = 123
)

Arguments

type: string; one of "referral", "incomplete" or "complete"
max_months_waited: integer; the maximum number of months to group patients waiting times by for the analysis. Data are published up to 104 weeks, so 24 is likely to be the maximum useful value for this argument.
number_periods: integer; the intended number of periods in the dataset
referral_values: integer; vector of values that are sampled from for the count of referrals at each time step
max_incompletes: integer; the maximum number of incomplete pathways possible in one time step
max_treatments: integer; the maximum number of treatments possible
seed: seed to generate the random data from

Value

a tibble whose columns depend on the type input. If type is "referral" then it will have two fields, period_id and referrals. If type is "complete" or "incomplete", the fields will be period_id, months_waited_id and treatments/incompletes, depending on the type value

Examples

create_dummy_data(
  type = "referral",
  max_months_waited = 4,
  number_period = 6
)
#> # A tibble: 7 × 2
#>   period_id referrals
#>       <dbl>     <int>
#> 1         0     11462
#> 2         1     11510
#> 3         2     11226
#> 4         3      9525
#> 5         4      9194
#> 6         5     11985
#> 7         6     10841