redist.plot.contr_pfdr: Plot a Projective Contrast with positive False Discovery Rate...

In redist: Simulation Methods for Legislative Redistricting

Plot a Projective Contrast with positive False Discovery Rate (pFDR) Control

Description

Plot a projective contrast on a map with areas selected by the pFDR control procedure hatched.

Usage

redist.plot.contr_pfdr(
  map,
  contr,
  level = 0.05,
  density = 0.2,
  spacing = 0.015
)

Arguments

map	A redist_map object
contr	The output of proj_contr() with pfdr=TRUE: A vector containing the contrast and an attribute "q" containing the q-values.
level	The positive false discovery rate level to control.
density	The density of the hatching (roughly what portion is shaded).
spacing	The spacing of the hatches.

Value

A ggplot.

Examples

# example code
set.seed(1812)
data(iowa)
map <- redist_map(iowa, existing_plan = cd_2010, pop_tol = 0.01)
plans <- redist_smc(map, 50, silent = TRUE)
plans$dem <- group_frac(map, dem_08, tot_08, plans)

pc = proj_contr(plans, dem, pfdr=TRUE)
redist.plot.contr_pfdr(map, pc, level=0.4) # high `level` just to demonstrate

redist documentation built on Aug. 8, 2025, 7:44 p.m.