activity_presence {edeaR} | R Documentation |
Metric: Activity Presence
Description
Calculates for each activity type in what percentage of cases it is present.
Usage
activity_presence(
log,
append = deprecated(),
append_column = NULL,
sort = TRUE,
eventlog = deprecated()
)
## S3 method for class 'eventlog'
activity_presence(
log,
append = deprecated(),
append_column = NULL,
sort = TRUE,
eventlog = deprecated()
)
## S3 method for class 'grouped_eventlog'
activity_presence(
log,
append = deprecated(),
append_column = NULL,
sort = TRUE,
eventlog = deprecated()
)
## S3 method for class 'activitylog'
activity_presence(
log,
append = deprecated(),
append_column = NULL,
sort = TRUE,
eventlog = deprecated()
)
## S3 method for class 'grouped_activitylog'
activity_presence(
log,
append = deprecated(),
append_column = NULL,
sort = TRUE,
eventlog = deprecated()
)
Arguments
log |
|
append |
|
append_column |
|
sort |
|
eventlog |
Details
An indication of variance can be the presence of the activities in the different cases. This metric shows for each activity the absolute number of cases in which each activity occurs together with its relative presence.
Methods (by class)
-
activity_presence(eventlog)
: Compute activity presence for aneventlog
. -
activity_presence(grouped_eventlog)
: Compute activity presence for agrouped_eventlog
. -
activity_presence(activitylog)
: Compute activity presence for anactivitylog
. -
activity_presence(grouped_activitylog)
: Compute activity presence for agrouped_activitylog
.
References
Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.
See Also
Other metrics:
activity_frequency()
,
end_activities()
,
idle_time()
,
number_of_repetitions()
,
number_of_selfloops()
,
number_of_traces()
,
processing_time()
,
resource_frequency()
,
resource_involvement()
,
resource_specialisation()
,
start_activities()
,
throughput_time()
,
trace_coverage()
,
trace_length()
Examples
## Not run:
data <- data.frame(case = rep("A",5),
activity_id = c("A","B","C","D","E"),
activity_instance_id = 1:5,
lifecycle_id = rep("complete",5),
timestamp = 1:5,
resource = rep("resource 1", 5))
log <- bupaR::eventlog(data,case_id = "case",
activity_id = "activity_id",
activity_instance_id = "activity_instance_id",
lifecycle_id = "lifecycle_id",
timestamp = "timestamp",
resource_id = "resource")
activity_presence(log)
## End(Not run)