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Filter Time Period

Source: R/filter_time_period.R
filter_time_period.Rd

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 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 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 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 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 class log or derivatives (grouped_log, eventlog, activitylog, etc.).

interval

Date or POSIXct vector: A time interval (vector of length 2 of type Date or POSIXct). Half-open intervals can be created with NA.

filter_method

character (default "contained"): Filtering method: "contained" (default), "intersecting", "start", "complete", or "trim". For more information, see 'Details' below.

force_trim

logical (default FALSE): If TRUE in combination with filter_method "trim", activity instances on the edges of the interval are cut at the exact edge of the interval.

reverse

logical (default FALSE): Indicating whether the selection should be reversed.

eventlog

[Deprecated]; please use log instead.

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 an eventlog.

  • filter_time_period(grouped_eventlog): Filters activity instances for a grouped_eventlog.

  • filter_time_period(activitylog): Filters activity instances for an activitylog.

  • filter_time_period(grouped_activitylog): Filters activity instances for a grouped_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()