Calculate Partisan Bias

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)
#> [1] 0 0

# Or many plans:
part_bias(plans = nh_m[, 3:5], shp = nh, rvote = nrv, dvote = ndv)
#> [1] 0 0 0 0 0 0