Function to filter the log using a time period.
Usage
filter_time_period(
log,
interval = NULL,
filter_method = c("contained", "intersecting", "start", "complete", "trim"),
force_trim = FALSE,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'eventlog'
filter_time_period(
log,
interval = NULL,
filter_method = c("contained", "intersecting", "start", "complete", "trim"),
force_trim = FALSE,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'grouped_eventlog'
filter_time_period(
log,
interval = NULL,
filter_method = c("contained", "intersecting", "start", "complete", "trim"),
force_trim = FALSE,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'activitylog'
filter_time_period(
log,
interval = NULL,
filter_method = c("contained", "intersecting", "start", "complete", "trim"),
force_trim = FALSE,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for class 'grouped_activitylog'
filter_time_period(
log,
interval = NULL,
filter_method = c("contained", "intersecting", "start", "complete", "trim"),
force_trim = FALSE,
reverse = FALSE,
eventlog = deprecated()
)Arguments
- log
log: Object of classlogor derivatives (grouped_log,eventlog,activitylog, etc.).- interval
DateorPOSIXctvector: A time interval (vector of length 2 of typeDateorPOSIXct). Half-open intervals can be created withNA.- filter_method
character(default"contained"): Filtering method:"contained"(default),"intersecting","start","complete", or"trim". For more information, see 'Details' below.- force_trim
logical(defaultFALSE): IfTRUEin combination withfilter_method"trim", activity instances on the edges of the interval are cut at the exact edge of theinterval.- 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.
Details
Event data can be filtered by supplying a time window to the method filter_time_period. There are 5 different
values for filter_method:
"contained": Keeps all the events related to cases contained in the time period."intersecting": Keeps all the events related to cases in which at least one event started and/or ended in the time period."start": Keeps all the events related to cases started in the time period."complete": Keeps all the events related to cases complete in the time period."trim": Keeps all the events which started and ended in the time frame.
Methods (by class)
filter_time_period(eventlog): Filters activity instances for aneventlog.filter_time_period(grouped_eventlog): Filters activity instances for agrouped_eventlog.filter_time_period(activitylog): Filters activity instances for anactivitylog.filter_time_period(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(),
filter_activity_frequency(),
filter_activity_instance(),
filter_activity_presence(),
filter_case(),
filter_case_condition(),
filter_endpoints(),
filter_endpoints_condition(),
filter_flow_time(),
filter_idle_time(),
filter_infrequent_flows(),
filter_lifecycle(),
filter_lifecycle_presence(),
filter_precedence(),
filter_precedence_condition(),
filter_precedence_resource(),
filter_processing_time(),
filter_resource(),
filter_resource_frequency(),
filter_throughput_time(),
filter_trace(),
filter_trace_frequency(),
filter_trace_length(),
filter_trim(),
filter_trim_lifecycle()
