View source: R/filter_endpoints.R
filter_endpoints | R Documentation |
Filters the log based on a provided set of start and end activities
The filter_endpoints
method filters cases based on the first and last activity label. It can be used in two ways: by specifying vectors with allowed start
activities and/or allowed end activities, or by specifying a percentile. In the latter case, the percentile value will be used as a cut off.
For example, when set to 0.9
, it will select the most common endpoint pairs which together cover at least 90% of the cases, and filter the log accordingly.
filter_endpoints(
log,
start_activities = NULL,
end_activities = NULL,
percentage = NULL,
reverse = FALSE,
eventlog = deprecated()
)
## S3 method for class 'log'
filter_endpoints(
log,
start_activities = NULL,
end_activities = NULL,
percentage = NULL,
reverse = FALSE,
eventlog = deprecated()
)
## S3 method for class 'grouped_log'
filter_endpoints(
log,
start_activities = NULL,
end_activities = NULL,
percentage = NULL,
reverse = FALSE,
eventlog = deprecated()
)
log |
|
start_activities, end_activities |
|
percentage |
|
reverse |
|
eventlog |
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.
filter_endpoints(log)
: Filters cases for a log
.
filter_endpoints(grouped_log)
: Filters cases for a grouped_log
.
Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.
Other filters:
filter_activity_frequency()
,
filter_activity_instance()
,
filter_activity_presence()
,
filter_activity()
,
filter_case_condition()
,
filter_case()
,
filter_endpoints_condition()
,
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()
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