Filters cases on `trace_length`

, using a percentile threshold or interval.

This filter can be used by using an `interval`

or by using a `percentage`

.
The percentage will always start with the shortest cases first and stop
including cases when the specified percentile is reached. On the other hand, an absolute
interval can be defined instead to filter cases which have a length in this interval.

## Usage

```
filter_trace_length(
log,
interval = NULL,
percentage = NULL,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for log
filter_trace_length(
log,
interval = NULL,
percentage = NULL,
reverse = FALSE,
eventlog = deprecated()
)
# S3 method for grouped_log
filter_trace_length(
log,
interval = NULL,
percentage = NULL,
reverse = FALSE,
eventlog = deprecated()
)
```

## Arguments

- log
`log`

: Object of class`log`

or derivatives (`grouped_log`

,`eventlog`

,`activitylog`

, etc.).- interval, percentage
Provide either

`interval`

or`percentage`

.`interval`

(`numeric`

vector of length 2): A trace length interval. Half open interval can be created using`NA`

.`percentage`

(`numeric`

): A percentage p to be used for relative filtering.- reverse
`logical`

(default`FALSE`

): Indicating whether the selection should be reversed.- eventlog

## 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_trace_length(log)`

: Filters cases for a`log`

.`filter_trace_length(grouped_log)`

: Filters cases 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_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_time_period()`

,
`filter_trace_frequency()`

,
`filter_trace()`

,
`filter_trim_lifecycle()`

,
`filter_trim()`