vb_continuous: Continuous voting bloc analysis

In coletl/blocs: Estimate and Visualize Voting Blocs' Partisan Contributions

Continuous voting bloc analysis

Description

Define voting blocs along a continuous variable and estimate their partisan vote contributions.

Usage

vb_continuous(
  data,
  data_density = data,
  data_turnout = data,
  data_vote = data,
  indep,
  dv_vote3,
  dv_turnout,
  weight = NULL,
  min_val = NULL,
  max_val = NULL,
  n_points = 100,
  boot_iters = FALSE,
  verbose = FALSE,
  tolerance = sqrt(.Machine$double.eps),
  ...
)

Arguments

data	default data.frame to use as the source for density, turnout, and vote choice data.
data_density	data.frame of blocs' composition/density data. Must include any columns named by indep and weight.
data_turnout	data.frame of blocs' turnout data. Must include any columns named by dv_turnout, indep and weight.
data_vote	data.frame of blocs' vote choice data. Must include any columns named by dv_vote3, indep, and weight.
indep	string, column name of the independent variable defining discrete voting blocs.
dv_vote3	string, column name of the dependent variable in data_vote, coded as follows: -1 for Democrat vote choice, 0 for third-party vote, 1 for Republican vote choice, and NA for no vote.
dv_turnout	string, column name of the dependent variable flagging voter turnout in data_turnout. That column must be coded 0 = no vote, 1 = voted.
weight	optional string naming the column of sample weights.
min_val	numeric vector of the same length as indep, Lower bound for the density estimation of each respective indep. See [estimate_density].
max_val	numeric vector of the same length as indep, Upper bound for the density estimation of each respective indep. See [estimate_density].
n_points	scalar, number of points at which to estimate density. See [estimate_density].
boot_iters	integer, number of bootstrap iterations for uncertainty estimation. The default FALSE is equivalent to 0 and does not estimate uncertainty.
verbose	logical, whether to print iteration number.
tolerance	tolerance used when checking range of probability estimates
...	further arguments to pass to kde for density estimation.

Value

a vbdf data.frame with columns for the resample, bloc variable, and, for each resample-bloc combination, four estimates: probability density, turnout, Republican vote choice conditional on turnout, and net Republican votes.

coletl/blocs documentation built on Oct. 24, 2023, 6:26 p.m.