PolarizationIndices: variance, Gini mean difference, bias-corrected
skewness and excess kurtosis, and the bimodality coefficient.
EstebanRayIndex: Esteban and Ray (1994) polarization.
EarthMoversDistance: one-dimensional Wasserstein-1 distance.
IssueConstraint: mean absolute correlation between issues.
PolarizationTrend: OLS trend of a polarization series. Identical to
the Python arm morie.fn.polarize.
Usage
PolarizationIndices(positions, weights = NULL)
EstebanRayIndex(positions, shares = NULL, alpha = 1, k = 1)
EarthMoversDistance(a, b)
IssueConstraint(X)
PolarizationTrend(time, values)
Arguments
- positions
Positions (ideal points, opinions, group locations).
- weights
Optional weights.
- shares
Group population shares.
- alpha
Esteban-Ray sensitivity.
- k
Esteban-Ray scale constant.
- a, b
Samples.
- X
Respondents x issues matrix.
- time, values
Time points and polarization values.
References
Esteban, J.-M. and Ray, D. (1994). On the measurement of
polarization. Econometrica 62, 819-851.
Pfister, R., Schwarz, K. A., Janczyk, M., Dale, R. and Freeman, J. B.
(2013). Good things peak in pairs: a note on the bimodality coefficient.
Frontiers in Psychology 4, 700.
Examples
PolarizationIndices(c(-1, -1, 1, 1, 0))$gini_mean_difference
#> [1] 0.96
EstebanRayIndex(c(0, 1), c(0.5, 0.5))
#> [1] 0.25
