part_bias {redistmetrics}

Calculate Partisan Bias

Description

Calculate Partisan Bias

Usage

part_bias(plans, shp, dvote, rvote, v = 0.5)

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.

dvote

Unqouted name of column in shp with total population.

rvote

Unqouted name of column in shp with group population.

v

vote share to calculate bias at. Numeric. Default is 0.5.

Value

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

References

Jonathan N. Katz, Gary King, and Elizabeth Rosenblatt. 2020. Theoretical Foundations and Empirical Evaluations of Partisan Fairness in District-Based Democracies. American Political Science Review, 114, 1, Pp. 164-178.

Examples

data(nh)
data(nh_m)
# For a single plan:
part_bias(plans = nh$r_2020, shp = nh, rvote = nrv, dvote = ndv)

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