Calculates resilience indices (see Matzinger et al. 2018) for each failure event in time series of performance P(t). Failure is defined by acceptable performance Pa and maximal failure Pmax.
resilience.events(time_stamp, Pt, Pa, Pmax, evtSepTime, signalWidth)
| time_stamp | vector containing timestamp (sorted in ascending order) |
|---|---|
| Pt | vector with performance P(t) (same length as timestamp) |
| Pa | accpetable performance |
| Pmax | maximal failure |
| evtSepTime | "event separation time" in seconds. Maximal allowed time difference between two consecutive timestamps within the same event. |
| signalWidth | "signal width" in seconds. Length of time interval that one timestamp is representing, e.g. 5*60 = 300 if each timestamp respresents a time interval of five minutes (as e.g. a time series is recorded on a five minute time scale). This parameter is needed to calculate event durations. |
Returns data.frame containing one row by failure event. First columns are identical to kwb.event::hsEvents. Following columns are additional resilience indices:
Sev: severity by event
Res0: resilience index by event
trec: recovery time in seconds
trec_percent: trec relative to event duration in per cent
worst_P: P(t) closest to Pmax within event
script is stopped if no failure event with message "Pa never exceeded"