Takes output from EI model, EI RxC model, Goodman regression, and puts them into a data frame table for useful analysis and comparison.
ei_rc_good_table(ei, rc, good, groups, include_good = FALSE)
Object of class ei_compare containing a 1. data.frame() slot of comparisons across the three models; 2. Character vector of group names used for later plotting
Table/data frame object result from ei_est_gen. This assumes beta_yes=FALSE in ei_est_gen(). See example below for beta_yes=TRUE in ei_est_gen().
Table/data frame from EI:RxC process from bayes_table_make()
Table/data frame from Goodman regression, from goodman_generalize(). Default is nothing
Character vector of voting blocks (e.g., c("Latino", "White"))
Logical, default is FALSE, Set to TRUE if including a Goodman table/data object
Loren Collingwood <loren.collingwood@ucr.edu>
eiPack, King et. al. (http://gking.harvard.edu/eiR)