#' Convenience Function for Creating Selection Matrix Depending on the Term
#'
#' @param term, string indicating whether you are selection for actor, behavior, or object
#' @param eq the equation dataframe being used for analysis
#'
#' @return selection matrix to easily grab desired estimates from entire event ABO-EPA matrix
#' see Heise, Expressive Order p. 86
#' @export
#'
#' @examples
#' eq <- get_equation(name = "us2010", type = "impressionabo", g = "average")
#' select_mat_a <- create_select_mat(term = "actor", eq = eq)
create_select_mat <- function(term,
eq) {
#make identity matrix
id_mat <- matrix(0, 9, 9)
diag(id_mat) <- 1
#get the coefficients from the
coefs <- eq %>% dplyr::select(.data$AE:.data$OA) %>% as.matrix()
z <- rbind(id_mat, coefs)
if(term == "behavior"){
z_select <- as.matrix(z[,4:6])
} else if(term == "actor") {
z_select <- as.matrix(z[,1:3])
} else if(term == "object") {
z_select <- as.matrix(z[,7:9])
}
return(z_select)
}
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