Metric: Activity Presence

Calculates for each activity type in what percentage of cases it is present.

activity_presence(eventlog, append)

# S3 method for eventlog
activity_presence(eventlog, append = F)

# S3 method for grouped_eventlog
activity_presence(eventlog, append = F)

Arguments

eventlog

The dataset to be used. Should be a (grouped) eventlog object. eventlog.
append

Logical, indicating whether to append results to original event log. Ignored when level is log or trace.

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)

  • eventlog: Compute activity presence for event log

  • grouped_eventlog: Compute activity presence for grouped eventlog

References

Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.

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)
# }