get_turbulence()

Computes turbulence for each sequence from subsequence diversity and spell-duration variance.

Function Usage

from sequenzo import get_turbulence
result = get_turbulence(seqdata, norm=False, silent=True, type=1, id_as_column=True)

Entry Parameters

• seqdata: SequenceData object.
• norm: normalize turbulence value.
• silent: suppress progress messages.
• type: spell-variance type (1 or 2).
• id_as_column: return ID as a regular column.

Returns

DataFrame with turbulence values by sequence.

TraMineR Mapping

• Equivalent TraMineR function: TraMineR::seqST().

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.