This rules examines whether the supplied activity is present in a case or not. The argument `n` can be used to set a minimum number of occurences that should be present in each case. Using the function `check_rule`, this information can be added to the event log.
contains(activity, n = 1)
| activity | Activity to check. A character vector of length one. Should be an activity of the eventlog supplied with check_rule. |
|---|---|
| n | The minimum number of times the activity should be present. |
Other Declarative Rules: absent,
and, contains_between,
contains_exactly, ends,
precedence,
responded_existence,
response, starts,
succession, xor
library(bupaR) library(eventdataR) # Each patient should be registered at least once. patients %>% check_rule(contains("Registration"))#> Log of 5442 events consisting of: #> 7 traces #> 500 cases #> 2721 instances of 7 activities #> 7 resources #> Events occurred from 2017-01-02 11:41:53 until 2018-05-05 07:16:02 #> #> Variables were mapped as follows: #> Case identifier: patient #> Activity identifier: handling #> Resource identifier: employee #> Activity instance identifier: handling_id #> Timestamp: time #> Lifecycle transition: registration_type #> #> # A tibble: 5,442 x 8 #> handling patient employee handling_id registration_ty~ time #> <fct> <chr> <fct> <chr> <fct> <dttm> #> 1 Registr~ 1 r1 1 start 2017-01-02 11:41:53 #> 2 Registr~ 2 r1 2 start 2017-01-02 11:41:53 #> 3 Registr~ 3 r1 3 start 2017-01-04 01:34:05 #> 4 Registr~ 4 r1 4 start 2017-01-04 01:34:04 #> 5 Registr~ 5 r1 5 start 2017-01-04 16:07:47 #> 6 Registr~ 6 r1 6 start 2017-01-04 16:07:47 #> 7 Registr~ 7 r1 7 start 2017-01-05 04:56:11 #> 8 Registr~ 8 r1 8 start 2017-01-05 04:56:11 #> 9 Registr~ 9 r1 9 start 2017-01-06 05:58:54 #> 10 Registr~ 10 r1 10 start 2017-01-06 05:58:54 #> # ... with 5,432 more rows, and 2 more variables: .order <int>, #> # contains_Registration_1 <lgl># Check whether some patients have received 2 or more blood tests. patients %>% check_rule(contains("Blood test", n = 2))#> Log of 5442 events consisting of: #> 7 traces #> 500 cases #> 2721 instances of 7 activities #> 7 resources #> Events occurred from 2017-01-02 11:41:53 until 2018-05-05 07:16:02 #> #> Variables were mapped as follows: #> Case identifier: patient #> Activity identifier: handling #> Resource identifier: employee #> Activity instance identifier: handling_id #> Timestamp: time #> Lifecycle transition: registration_type #> #> # A tibble: 5,442 x 8 #> handling patient employee handling_id registration_ty~ time #> <fct> <chr> <fct> <chr> <fct> <dttm> #> 1 Registr~ 1 r1 1 start 2017-01-02 11:41:53 #> 2 Registr~ 2 r1 2 start 2017-01-02 11:41:53 #> 3 Registr~ 3 r1 3 start 2017-01-04 01:34:05 #> 4 Registr~ 4 r1 4 start 2017-01-04 01:34:04 #> 5 Registr~ 5 r1 5 start 2017-01-04 16:07:47 #> 6 Registr~ 6 r1 6 start 2017-01-04 16:07:47 #> 7 Registr~ 7 r1 7 start 2017-01-05 04:56:11 #> 8 Registr~ 8 r1 8 start 2017-01-05 04:56:11 #> 9 Registr~ 9 r1 9 start 2017-01-06 05:58:54 #> 10 Registr~ 10 r1 10 start 2017-01-06 05:58:54 #> # ... with 5,432 more rows, and 2 more variables: .order <int>, #> # contains_Blood_test_2 <lgl>