Compute Talismanic Redistricting Competitiveness Metric — compet_talisman • redistmetrics

Compute Talismanic Redistricting Competitiveness Metric

compet_talisman(plans, shp, rvote, dvote, alpha = 1, beta = 1)

Arguments

plans: A redist_plans object or plans_matrix where each row indicates a district assignment and each column is a plan.
shp: A redist_map object, tibble, or data frame containing other columns.
rvote: Unqouted name of column in shp with group population.
dvote: Unqouted name of column in shp with total population.
alpha: Numeric scaling value
beta: Numeric scaling value

Value

A numeric vector. Can be shaped into a district-by-plan matrix.

References

Wendy K. Tam Cho and Yan Y. Liu Toward a Talismanic Redistricting Tool. Election Law Journal. 15, 4. Pp. 351-366.

Examples

data(nh)
data(nh_m)
# For a single plan:
compet_talisman(plans = nh$r_2020, shp = nh, rvote = nrv, dvote = ndv)
#> [1] 0.04953732 0.04953732

# Or many plans:
compet_talisman(plans = nh_m[, 3:5], shp = nh, rvote = nrv, dvote = ndv)
#> [1] 0.02599922 0.02599922 0.02420340 0.02420340 0.02317628 0.02317628