eiExpand (version 1.0.5)

rpv_normalize: Normalize RPV results

Description

Create a dataframe of normalized RPV results when using the cvap, vap, or bisg denominator method, i.e., take RPV results only among people estimated to have voted.

Usage

rpv_normalize(ei_object, cand_cols, race_cols)

Value

Normalized RPV results in a data.frame

Arguments

ei_object

Output from ei_iter() or ei_rxc()

cand_cols

A character vector of the candidate column names to be normalized from ei_object. Only use candidate column name columns, not the No Vote column.

race_cols

A character vector of the racial group column names to be normalized from ei_object

Author

Rachel Carroll <[e-mail]>

Loren Collingwood <[e-mail]>

Examples

# \donttest{
#library(eiExpand)
#data("south_carolina")
#prec_election_demog <- south_carolina[1:50,]

## run rpv using eiCompare (rxc method)
#rxcVote <-  eiCompare::ei_rxc(
#  data = prec_election_demog,
#  cand_cols = c('pct_mcmaster', 'pct_smith', 'pct_other_gov', 'pct_NoVote_gov'),
#  race_cols = c('pct_white', 'pct_black', 'pct_race_other'),
#  totals_col = "total_vap")

## normalize results accounting for no vote using rpv_normalize()
## only include the candidate and race cols of interest for the rpv analysis
#rpv_results <- rpv_normalize(
 # ei_object = rxcVote,
 # cand_cols = c('pct_mcmaster', 'pct_smith', 'pct_other_gov'), 
 # race_cols = c('pct_white', 'pct_black')
#)
# }