part_rmd: Calculate Ranked Marginal Deviation

Description Usage Arguments Value References Examples

View source: R/partisan.R

Description

Calculate Ranked Marginal Deviation

Usage

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part_rmd(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 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

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

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

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

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