part_sscd: Calculate Smoothed Seat Count Deviation

In redistmetrics: Redistricting Metrics

Calculate Smoothed Seat Count Deviation

Description

Calculate Smoothed Seat Count Deviation

Usage

part_sscd(plans, shp, dvote, rvote)

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, 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

numeric vector

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_sscd(plans = nh$r_2020, shp = nh, rvote = nrv, dvote = ndv)

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

redistmetrics documentation built on April 11, 2022, 5:08 p.m.