Calculate Lopsided Wins

part_lop_wins(plans, shp, dvote, rvote)

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.

Value

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

References

Samuel S.-H. Wang. 2016. "Three Tests for Practical Evaluation of Partisan Gerrymandering." Stanford Law Review, 68, Pp. 1263 - 1321.

Examples

data(nh)
data(nh_m)
# For a single plan:
part_lop_wins(plans = nh$r_2020, shp = nh, rvote = nrv, dvote = ndv)
#> [1] -0.02340617 -0.02340617

# Or many plans:
part_lop_wins(plans = nh_m[, 3:5], shp = nh, rvote = nrv, dvote = ndv)
#> [1] -0.02618429 -0.02618429 -0.02244022 -0.02244022 -0.02553128 -0.02553128