filter_activity_presence: Filter Activity Presence

In edeaR: Exploratory and Descriptive Event-Based Data Analysis

Filter Activity Presence

Description

Filters cases based on the presence (or absence) of activities.

Usage

filter_activity_presence(
  log,
  activities = NULL,
  method = c("all", "none", "one_of", "exact", "only"),
  reverse = FALSE,
  eventlog = deprecated()
)

## S3 method for class 'log'
filter_activity_presence(
  log,
  activities = NULL,
  method = c("all", "none", "one_of", "exact", "only"),
  reverse = FALSE,
  eventlog = deprecated()
)

## S3 method for class 'grouped_log'
filter_activity_presence(
  log,
  activities = NULL,
  method = c("all", "none", "one_of", "exact", "only"),
  reverse = FALSE,
  eventlog = deprecated()
)

Arguments

log	log: Object of class log or derivatives (grouped_log, eventlog, activitylog, etc.).
activities	character vector: Containing one or more activity identifiers.
method	character (default "all"): Filter method: "all" (default), "none", "one_of", "exact", or "only". For more information, see Details below.
reverse	logical (default FALSE): Indicating whether the selection should be reversed.
eventlog	; please use log instead.

Details

This functions allows to filter cases that contain certain activities. It requires as input a vector containing one or more activity labels and it has a method argument with following options:

• "all" means that all the specified activity labels must be present for a case to be selected.

• "none" means that they are not allowed to be present.

• "one_of" means that at least one of them must be present.

• "exact" means that only exactly these activities can be present (although multiple times and in random orderings).

• "only" means that only (a set of) these activities are allowed to be present.

When only one activity label is supplied, note that methods "all" and "one_of" will be identical.

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.

Methods (by class)

• filter_activity_presence(log): Filters activities for a log.

• filter_activity_presence(grouped_log): Filters activities for a grouped_log.

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(), 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_time_period(), filter_trace_frequency(), filter_trace_length(), filter_trace(), filter_trim_lifecycle(), filter_trim()

edeaR documentation built on April 27, 2023, 9:07 a.m.