All functions |
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Compresses a data matrix based on mutual information (segregation) |
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Calculate Dissimilarity Index |
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Calculate expected values when true segregation is zero |
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Calculates the entropy of a distribution |
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Calculates pairwise exposure |
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Create crosswalk after compression |
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Adjustment of marginal distributions using iterative proportional fitting |
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Calculates isolation |
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Turns a contingency table into long format |
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merge_units |
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Decomposes the difference between two M indices |
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Calculate expected values when true segregation is zero |
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Calculates local segregation indices based on M |
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Calculate total segregation for M and H |
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Calculate a nested decomposition of segregation for M and H |
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Calculate detailed within-category segregation scores for M and H |
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Student-level data including SES status |
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Ethnic/racial composition of schools for 2000/2001 |
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Ethnic/racial composition of schools for 2005/2006 |
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Scree plot for segregation compression |
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A visual representation of two-group segregation |
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A visual representation of segregation |
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segregation: Entropy-based segregation indices |