redist.prec.pop.overlap: Compare the Population Overlap Across Plans at the Precinct...

In redist: Simulation Methods for Legislative Redistricting

Compare the Population Overlap Across Plans at the Precinct Level

Description

Compare the Population Overlap Across Plans at the Precinct Level

Usage

redist.prec.pop.overlap(
  plan_old,
  plan_new,
  total_pop,
  weighting = "s",
  normalize = TRUE,
  index_only = FALSE,
  return_mat = FALSE
)

Arguments

plan_old	The reference plan to compare against
plan_new	The new plan to compare to the reference plan
total_pop	The total population by precinct This can also take a redist_map object and will use the population in that object. If nothing is provided, it weights all entries in plan equally.
weighting	Should weighting be done by sum of populations 's', mean of populations 'm', geometric mean of populations 'g', or none 'n'
normalize	Should entries be normalized by the total population
index_only	Default is FALSE. TRUE returns only one numeric index, the mean of the upper triangle of the matrix, under the weighting and normalization chosen.
return_mat	Defaults to FALSE, where it returns the summary by row. If TRUE returns matrix with length(plan_old) rows and columns. Ignored if index_only = TRUE.

Value

numeric vector with length(plan_old) entries

Examples

set.seed(5)
data(iowa)
iowa_map <- redist_map(iowa, total_pop = pop, pop_tol = 0.01, ndists = 4)
plans <- redist_smc(iowa_map, 2, silent = TRUE)
plans_mat <- get_plans_matrix(plans)
ov_vec <- redist.prec.pop.overlap(plans_mat[, 1], plans_mat[, 2], iowa_map)
redist.prec.pop.overlap(plans_mat[, 1], plans_mat[, 2], iowa_map,  weighting = "s",
    normalize = FALSE, index_only = TRUE)

redist documentation built on June 24, 2024, 9:10 a.m.