get_duration_standard_deviation()

Computes standard deviation of spell durations for each sequence.

Function Usage

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

Entry Parameters

• seqdata: SequenceData object.
• type: 1 observed durations, 2 with zero-length for nonvisited states.
• with_missing: include missing state or not.

Returns

DataFrame with duration standard deviation (Dustd or Dustd2).

TraMineR Mapping

• Equivalent TraMineR functions: TraMineR::seqivardur() and TraMineR::seqindic() (dustd / dustd2).

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.