Trim cases from the first event of a set of start activities to the last event of a set of end activities.
One can trim cases by removing one or more activity instances at the start and/or end of a case. Trimming is performed until all cases have a start and/or end point belonging to a set of allowed activity labels. This filter requires a set of allowed start activities and/or a set of allowed end activities. If one of them is not provided it will not trim the cases at this edge. The selection can be reversed, which means that only the trimmed events at the start and end of cases are retained. As such, this argument allows to cut intermediate parts out of traces.
Usage
filter_trim(
log,
start_activities = NULL,
end_activities = NULL,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'eventlog'
filter_trim(
log,
start_activities = NULL,
end_activities = NULL,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'grouped_eventlog'
filter_trim(
log,
start_activities = NULL,
end_activities = NULL,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'activitylog'
filter_trim(
log,
start_activities = NULL,
end_activities = NULL,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'grouped_activitylog'
filter_trim(
log,
start_activities = NULL,
end_activities = NULL,
reverse = FALSE,
eventlog = deprecated()
)
Arguments
- log
log
: Object of classlog
or derivatives (grouped_log
,eventlog
,activitylog
, etc.).- start_activities, end_activities
character
vector (defaultNULL
): A vector of activity identifiers, orNULL
.- reverse
logical
(defaultFALSE
): Indicating whether the selection should be reversed.- eventlog
Value
When given an object of type log
, it will return a filtered log
.
When given an object of type grouped_log
, the filter will be applied in a stratified way (i.e. each separately for each group).
The returned log will be grouped on the same variables as the original log.
Methods (by class)
filter_trim(eventlog)
: Filters activity instances for aneventlog
.filter_trim(grouped_eventlog)
: Filters activity instances for agrouped_eventlog
.filter_trim(activitylog)
: Filters activity instances for anactivitylog
.filter_trim(grouped_activitylog)
: Filters activity instances for agrouped_activitylog
.
References
Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.
See also
Other filters:
filter_activity_frequency()
,
filter_activity_instance()
,
filter_activity_presence()
,
filter_activity()
,
filter_case_condition()
,
filter_case()
,
filter_endpoints_condition()
,
filter_endpoints()
,
filter_flow_time()
,
filter_idle_time()
,
filter_infrequent_flows()
,
filter_lifecycle_presence()
,
filter_lifecycle()
,
filter_precedence_condition()
,
filter_precedence_resource()
,
filter_precedence()
,
filter_processing_time()
,
filter_resource_frequency()
,
filter_resource()
,
filter_throughput_time()
,
filter_time_period()
,
filter_trace_frequency()
,
filter_trace_length()
,
filter_trace()
,
filter_trim_lifecycle()