compet_talisman: Compute Talismanic Redistricting Competitiveness Metric

In redistmetrics: Redistricting Metrics

Compute Talismanic Redistricting Competitiveness Metric

Description

Compute Talismanic Redistricting Competitiveness Metric

Usage

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

Arguments

plans	redist_plans object or plans_matrix where each row indicates a district assignment and each column is a plan
shp	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

numeric vector

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)

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

redistmetrics documentation built on April 11, 2022, 5:08 p.m.