View source: R/filter_flow_time.R
| filter_flow_time | R Documentation |
Filter cases where the activity from is followed by activity to within a certain time interval.
filter_flow_time(
log,
from,
to,
interval,
reverse = FALSE,
units = c("secs", "mins", "hours", "days", "weeks")
)
## S3 method for class 'log'
filter_flow_time(
log,
from,
to,
interval,
reverse = FALSE,
units = c("secs", "mins", "hours", "days", "weeks")
)
## S3 method for class 'grouped_log'
filter_flow_time(
log,
from,
to,
interval,
reverse = FALSE,
units = c("secs", "mins", "hours", "days", "weeks")
)
log |
|
from, to |
|
interval |
|
reverse |
|
units |
|
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.
filter_flow_time(log): Filters on flow time for a bupaR::log.
filter_flow_time(grouped_log): Filters on flow time for a bupaR::grouped_log.
Swennen, M. (2018). Using Event Log Knowledge to Support Operational Exellence Techniques (Doctoral dissertation). Hasselt University.
processing_time(),difftime()
Other filters:
filter_activity(),
filter_activity_frequency(),
filter_activity_instance(),
filter_activity_presence(),
filter_case(),
filter_case_condition(),
filter_endpoints(),
filter_endpoints_condition(),
filter_idle_time(),
filter_infrequent_flows(),
filter_lifecycle(),
filter_lifecycle_presence(),
filter_precedence(),
filter_precedence_condition(),
filter_precedence_resource(),
filter_processing_time(),
filter_resource(),
filter_resource_frequency(),
filter_throughput_time(),
filter_time_period(),
filter_trace(),
filter_trace_frequency(),
filter_trace_length(),
filter_trim(),
filter_trim_lifecycle()
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