CMulti: A function to compute multi-group squared coefficient of...
In OasisR: Outright Tool for the Analysis of Spatial Inequalities and Segregation
CMulti R Documentation
A function to compute multi-group squared coefficient of variation index
Description
The index can be interpreted as a measure of the variance of the
spatial representation of the groups accros spatial unite, or as a normalized
chi-squared measure of association between groups and units.
Usage
CMulti(x)
Arguments
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.
Value
multi-group entropy segregation index
References
Reardon S. F. and Firebaugh G. (2002) Measures of multi-group
segregation. Sociological Methodology, 32, pp. 33-67.
See Also
Multi-group indices:
PMulti, GiniMulti, DMulti,
HMulti, RelDivers
Social diversity indices:
HShannon, NShannon,
ISimpson,
Examples
x <- segdata@data[ ,1:2]
CMulti(x)
OasisR documentation built on Aug. 30, 2023, 1:09 a.m.
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| CMulti | R Documentation |
A function to compute multi-group squared coefficient of variation index
Description
The index can be interpreted as a measure of the variance of the spatial representation of the groups accros spatial unite, or as a normalized chi-squared measure of association between groups and units.
Usage
CMulti(x)
Arguments
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. |
Value
multi-group entropy segregation index
References
Reardon S. F. and Firebaugh G. (2002) Measures of multi-group segregation. Sociological Methodology, 32, pp. 33-67.
See Also
Multi-group indices:
PMulti, GiniMulti, DMulti,
HMulti, RelDivers
Social diversity indices:
HShannon, NShannon,
ISimpson,
Examples
x <- segdata@data[ ,1:2]
CMulti(x)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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