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_frequency()
,
filter_activity_instance()
,
filter_activity_presence()
,
filter_activity()
,
filter_case_condition()
,
filter_case()
,
filter_endpoints_condition()
,
filter_endpoints()
,
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()
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