Description Usage Arguments Value References See Also Examples

A function computing Reardon (2011) rank-ordered segregation indices

1 | ```
rankorderseg(x, polorder = 4, pred = NULL)
``` |

`x` |
- an object of class matrix (or which can be coerced to that class), where each column represents the distribution of a group within spatial units. The number of columns should be greater than 1 (at least 2 groups are required). You should not include a column with total population, because this will be interpreted as a group. The rows represent the nominal categories (spatial units) and the columns the population distribution as ordered groups divided by thresholds |

`polorder` |
- order of the polynomial approximation (4 by default) |

`pred` |
- a numerical vector with percentiles to be predicted. If NULL, the predictions are made at threshold levels |

A list containing the results for three rank-ordered indices: rank-order information theory index (Hr), rank-order variation ratio index (Rr) and rank-order square root index (Sr). For each index, a sublist is provided, containing: Index - the rank-ordered index value Hp/Rp/Sp - a vector with ordinal information theory/variance ratio/square root segregation index values at thresholds Coefficients - Coefficients extracted from the polynomial estimation model, including basic statistics Predict - a list contining predicted values of the coresponding ordinal index (fit); standard error of predicted means (se.fit); degrees of freedom for residual (df); and residual standard deviations (residuale.scale). If pred is NULL, the function will return the the statistics at thresholds

Reardon S. F. (2011) *Measures of Income Segregation
*. The Stanford Center on Poverty and Inequality

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