part_bias: Calculate Partisan Bias

Description Usage Arguments Value References Examples

View source: R/partisan.R

Description

Calculate Partisan Bias

Usage

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

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 or tibble with sf geometry column

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

numeric vector

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

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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)

redistmetrics documentation built on Dec. 20, 2021, 5:07 p.m.