get_positive_negative_indicators()

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

Function

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

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: seqipos and seqindic binary indicators.

Author

Code and documentation: Yuqi Liang

References

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