Event Sequence Helper Functions
These small helper functions make quick checks and summaries easier.
is_event_sequence(obj)
Checks whether obj is a single event sequence.
python
is_event_sequence(eseq[0])R Counterpart
- Closest R function:
is.eseq - Mapping note: Same intent: check whether an object is one event sequence.
is_event_sequence_collection(obj)
Checks whether obj is an event-sequence collection.
python
is_event_sequence_collection(eseq)R Counterpart
- Closest R function:
is.seqelist - Mapping note: Same intent: check whether an object is an event-sequence collection.
get_event_sequence_lengths(obj)
Returns:
- an integer for one event sequence, or
- an array of lengths for an event-sequence list.
python
one_len = get_event_sequence_lengths(eseq[0])
all_len = get_event_sequence_lengths(eseq)R Counterpart
- Closest R function:
seqelength - Mapping note: Same helper purpose: retrieve event-sequence lengths.
get_event_sequence_weights(obj)
Returns sequence weights from an event-sequence list.
python
w = get_event_sequence_weights(eseq)R Counterpart
- Closest R function:
seqeweight - Mapping note: Same helper purpose: retrieve event-sequence weights.
Authors
Code: Yuqi Liang
Documentation: Yuqi Liang
Reference
Ritschard, G., Bürgin, R., & Studer, M. (2013). Exploratory Mining of Life Event Histories. In J. J. McArdle & G. Ritschard (Eds.), Contemporary Issues in Exploratory Data Mining in the Behavioral Sciences (pp. 221–253). Routledge.