Error in filter_infrequent_flows()

[RobertoTCo]

Hi,

I've been trying to apply filter_infrequent_flows() function to eliminate those infrequent flows in process discovery. However, everytime I get returned the same error. You can try with the logs 'patients' or 'traffic_lines' (this last one is used as an example in the documentation).

patients %>% filter_infrequent_flows(min_n = 6) %>%process_map()

patients_act %>% filter_infrequent_flows(min_n = 6) %>%process_map()

traffic_fines %>%
     filter_infrequent_flows(min_n = 5) %>%
     process_map()

All of these examples return the same error.

"Error in `mutate()`:
ℹ In argument: `next_act = lead(activity, default = "END_ACT")`.
ℹ In group 1: `case_id = "A1"`.
Caused by error in `lead()`:
! Can't convert from `default` <character> to `x` <factor<e129f>> due to loss of generality.
• Locations: 1"

Is there another workaround I could apply to remove infrequent flows/traces? I think I could get the top most frequent cases (or otherway around) and use it to filter the log, but I should test it first.

The version of the packages I've been working with:
"[1] processcheckR_0.1.4 processmapR_0.5.2 eventdataR_0.3.1 edeaR_0.9.3 bupaR_0.5.3
[6] bupaverse_0.1.0"

[gertjanssenswillen]

Seems a bug, will investigate

[RobertoTCo]

For now, I've been using a workaround with trace_coverage(level="case") and filter() functions to select those case_id identifiers related to the top or bottom frequent traces. However, the function trace_coverage(level="case") does not return the cumulative sum of the relative frequencies as trace_coverage(level="trace") does. Perhaps it might be interesting to add that feature in the future? Apart from that, very powerful library.