Discrete voting bloc analysis — vb

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

Usage

vb_discrete(
  data,
  data_density = data,
  data_turnout = data,
  data_vote = data,
  indep,
  dv_vote3,
  dv_turnout,
  weight = NULL,
  boot_iters = FALSE,
  verbose = FALSE,
  check_discrete = TRUE
)

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.
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.
check_discrete: logical, whether to check if indep is a discrete variable.

Value

A vbdf object.