Calculate Ranked Marginal Deviation

part_rmd(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

Gregory Herschlag, Han Sung Kang, Justin Luo, Christy Vaughn Graves, Sachet Bangia, Robert Ravier & Jonathan C. Mattingly (2020) Quantifying Gerrymandering in North Carolina, Statistics and Public Policy, 7:1, 30-38, DOI: 10.1080/2330443X.2020.1796400

Examples

data(nh)
data(nh_m)
# For a single plan:
part_rmd(plans = nh$r_2020, shp = nh, rvote = nrv, dvote = ndv)
#> [1] 0 0

# Or many plans:
part_rmd(plans = nh_m[, 3:5], shp = nh, rvote = nrv, dvote = ndv)
#> [1] 0.05814795 0.05814795 0.02726817 0.02726817 0.03624232 0.03624232