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 classlog
or derivatives (grouped_log
,eventlog
,activitylog
, etc.).- interval
Date
orPOSIXct
vector: A time interval (vector of length 2 of typeDate
orPOSIXct
). 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
): IfTRUE
in 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_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_trace_frequency()
,
filter_trace_length()
,
filter_trace()
,
filter_trim_lifecycle()
,
filter_trim()