get_positive_negative_indicators()

Computes binary-state indicators from positive vs. negative state definitions.

Function Usage

from sequenzo.sequence_characteristics_indicators import get_positive_negative_indicators
result = get_positive_negative_indicators(seqdata, pos_states=[1, 2], neg_states=[3, 4])

Entry Parameters

• seqdata: SequenceData object.
• pos_states: states treated as positive.
• neg_states: states treated as negative (optional if complementary).
• additional keyword arguments follow the binary indicator implementation.

Returns

DataFrame with binary sequence-quality indicators.

TraMineR Mapping

• Equivalent TraMineR functions: TraMineR::seqipos() and TraMineR::seqindic() binary indicators.

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.