alarmdata (version 0.2.4)

alarm_add_plan: Add a reference plan to a set of plans

Description

Facilitates comparing an existing (i.e., non-simulated) redistricting plan to a set of simulated plans.

Usage

alarm_add_plan(
  plans,
  ref_plan,
  map = NULL,
  name = NULL,
  calc_polsby = FALSE,
  GEOID = "GEOID",
  year = 2020
)

Value

A modified redist_plans object containing the reference plan. Includes summary statistics if the original redist_plans object had them as well.

Arguments

plans

A redist_plans object.

ref_plan

An integer vector containing the reference plan, a block assignment file as a tibble or data.frame, or an sf object where each row corresponds to a district.

map

A redist_map object. Only required if the redist_plans object includes summary statistics.

name

A human-readable name for the reference plan. Defaults to the name of ref_plan. If ref_plan is a tibble or data.frame, it should be the name of the column of ref_plan that identifies districts.

calc_polsby

A logical value indicating whether a Polsby-Popper compactness score should be calculated for the reference plan. Defaults to FALSE.

GEOID

character. If ref_plan is a tibble or data.frame, then it should correspond to the column of ref_plan that identifies block GEOIDs. If ref_plan is an sf object, then it should correspond to the column of ref_plan that identifies district numbers. Ignored when ref_plan is numeric. Default is 'GEOID'.

year

the decade to request if passing a tibble to ref_plan, either 2010 or 2020. Default is 2020.

Examples

if (FALSE) { # Sys.getenv("DATAVERSE_KEY") != ""
# requires Harvard Dataverse API key
map <- alarm_50state_map("WY")
pl <- alarm_50state_plans("WY")
pl_new <- alarm_add_plan(pl, ref_plan = c(1), map, name = "example")

# download and load a comparison plan
url <- paste0("https://github.com/PlanScore/Redistrict2020/raw/main/files/",
  "NM-2021-10/Congressional_Concept_A.zip")
tf <- tempfile(fileext = ".zip")
utils::download.file(url, tf)
utils::unzip(tf, exdir = dirname(tf))
baf <- readr::read_csv(file = paste0(dirname(tf), "/Congressional Concept A.csv"),
                       col_types = "ci")
names(baf) <- c("GEOID", "concept_a")
# Add it to the plans object
map_nm <- alarm_50state_map("NM")
plans_nm <- alarm_50state_plans("NM", stats = FALSE)
alarm_add_plan(plans_nm, baf, map = map_nm, name = "concept_a")
}