get_mean_spell_duration()

Computes mean spell duration for each sequence.

Function Usage

from sequenzo.sequence_characteristics_indicators import get_mean_spell_duration
result = get_mean_spell_duration(seqdata, type=1, with_missing=False)

Entry Parameters

• seqdata: SequenceData object.
• type: 1 for observed spells, 2 including zero-length nonvisited states.
• with_missing: include missing as regular state.

Returns

DataFrame with mean spell duration (MeanD or MeanD2).

TraMineR Mapping

• Equivalent TraMineR functions: TraMineR::seqivardur() and TraMineR::seqindic() (meand / meand2).

Authors

Code and documentation: Yuqi Liang

See Also

• Sequence Characteristics Indicators Overview maps all indicator families.
• Sequence Summary Statistics vs Sequence Characteristics Indicators explains when to use indicators versus statistics or distances.

References

Ritschard, G. (2023), "Measuring the nature of individual sequences", Sociological Methods and Research, 52(4), 2016-2049. doi:10.1177/00491241211036156.