Filters the log based on activity instance identifier. This method has an activity_instances
argument,
to which a vector of identifiers can be given. The selection can be negated with the reverse
argument.
Usage
filter_activity_instance(
log,
activity_instances,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'eventlog'
filter_activity_instance(
log,
activity_instances,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'grouped_eventlog'
filter_activity_instance(
log,
activity_instances,
reverse = FALSE,
eventlog = deprecated()
)
Arguments
- log
eventlog
: Object of classeventlog
or derivatives (grouped_eventlog
).- activity_instances
A vector of activity instance identifiers.
- 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_activity_instance(eventlog)
: Filters activities for aneventlog
.filter_activity_instance(grouped_eventlog)
: Filters activities for agrouped_eventlog
.
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_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()
,
filter_trim()