eiCompare (version 3.0.4)

ei_compare-class: Class "ei_compare"

Description

An S4 class object stemming from ei_rc_good_table(), used for plotting, and examining comparison results.

Objects from the Class

Objects can, in principle, be created by calls of the form new("ei_compare", ...). However, the preferred form is to have them called ei_rc_good_table()

Author

Loren Collingwood <[e-mail]>

Examples

if (FALSE) {
# TOY DATA EXAMPLE
canda <- c(.1, .09, .85, .9, .92)
candb <- 1 - canda
white <- c(.8, .9, .10, .08, .11)
black <- 1 - white
total <- c(30, 80, 70, 20, 29)
toy <- data.frame(canda, candb, white, black, total)

# CREATE VECTORS
cands <- c("canda")
race_group <- c("~ black") # only use one group for example
table_names <- c("EI: PCT Black", "EI: PCT White")

# RUN ei_est_gen()
# KEEP DATA TO JUST ONE ROW FOR EXAMPLE (time) ONLY!
results <- ei_est_gen(cands, race_group, "total",
  data = toy[c(1, 3, 5), ], table_names = table_names, sample = 100
)

# Generate formula for passage to ei.reg.bayes() function
form <- formula(cbind(canda, candb) ~ cbind(black, white))
# Run Bayesian model
suppressWarnings(
  ei_bayes <- ei.reg.bayes(form, data = toy, sample = 100, truncate = TRUE)
)

table_names <- c("RxC: PCT Black", "RxC: PCT White")
cands <- c("canda", "candb")
ei_bayes_res <- bayes_table_make(ei_bayes, cand_vector = cands, table_names = table_names)
ei_bayes_res <- ei_bayes_res[c(1, 2, 5), ]
# Combine Results, results in object of class ei_compare
ei_rc_combine <- ei_rc_good_table(results, ei_bayes_res,
  groups = c("Black", "White")
)
# Produces data and character vector, which can be sent to plot()
ei_rc_combine
}
if (FALSE) {
# Warning: Takes a while to run
# Load corona data
data(corona)
# Generate character vectors
cands <- c("pct_husted", "pct_spiegel", "pct_ruth", "pct_button", "pct_montanez", "pct_fox")
race_group3 <- c("~ pct_hisp", "~ pct_asian", "~ pct_white")
table_names <- c("EI: Pct Lat", "EI: Pct Asian", "EI: Pct White")
# Run EI iterative Fitting
results <- ei_est_gen(
  cand_vector = cands, race_group = race_group3,
  total = "totvote", data = corona, table_names = table_names
)

# EI: RxC model
# Generate formula
form <- formula(cbind(pct_husted, pct_spiegel, pct_ruth, pct_button, pct_montanez, pct_fox)
~ cbind(pct_hisp, pct_asian, pct_white))
ei_bayes <- ei.reg.bayes(form, data = corona, sample = 10000, truncate = TRUE)
# RxC table names
table_names <- c("RxC: Pct Hisp", "RxC: Pct Asian", "RxC: Pct White")
# Table Creation, using function bayes_table_make in ei_est_generalize.R file
ei_bayes_res <- bayes_table_make(ei_bayes, cand_vector = cands, table_names = table_names)


# Combine Results, results in object of class ei_compare
ei_rc_combine <- ei_rc_good_table(results, ei_bayes_res,
  groups = c("Latino", "Asian", "White")
)
# Produces data and character vector, which can be sent to plot()
ei_rc_combine
}