R/data-prrace08.R

In usdata: Data on the States and Counties of the United States

#' Election results for the 2008 U.S. Presidential race
#'
#' Election results for the 2008 U.S. Presidential race
#'
#' In Nebraska, 4 electoral votes went to McCain and 1 to Obama. Otherwise the
#' electoral votes were a winner-take-all.
#'
#' @name prrace08
#' @docType data
#' @format A data frame with 51 observations on the following 7 variables.
#' \describe{
#'   \item{state}{State name abbreviation}
#'   \item{state_full}{Full state name}
#'   \item{n_obama}{Number of votes for Barack Obama}
#'   \item{p_obama}{Proportion of votes for Barack Obama}
#'   \item{n_mc_cain}{Number of votes for John McCain}
#'   \item{p_mc_cain}{Proportion of votes for John McCain}
#'   \item{el_votes}{Number of electoral votes for a state}
#'   }
#' @source \href{https://www.infoplease.com/us/government/elections/presidential-election-of-2008-electoral-and-popular-vote-summary}{Presidential Election of 2008, Electoral and Popular Vote Summary},
#' retrieved 2011-04-21.
#' @keywords datasets election 2008 president United States
#' @examples
#'
#' #===> Obtain 2010 US House Election Data <===#
#' hr <- table(houserace10[,c("abbr", "party1")])
#' nr <- apply(hr, 1, sum)
#'
#' #===> Obtain 2008 President Election Data <===#
#' pr   <- prrace08[prrace08$state != "DC",c("state", "p_obama")]
#' hr   <- hr[as.character(pr$state),]
#' (fit <- glm(hr ~ pr$p_obama, family=binomial))
#'
#' #===> Visualizing Binomial outcomes <===#
#' x  <- pr$p_obama[pr$state != "DC"]
#' nr <- apply(hr, 1, sum)
#' plot(x, hr[,"Democrat"]/nr, pch=19, cex=sqrt(nr), col="#22558844",
#'     xlim=c(20, 80), ylim=c(0, 1), xlab="Percent vote for Obama in 2008",
#'     ylab="Probability of Democrat winning House seat")
#'
#' #===> Logistic Regression <===#
#' x1 <- pr$p_obama[match(houserace10$abbr, pr$state)]
#' y1 <- (houserace10$party1 == "Democrat")+0
#' g  <- glm(y1 ~ x1, family=binomial)
#' X  <- seq(0, 100, 0.1)
#' lo <- -5.6079 + 0.1009*X
#' p  <- exp(lo)/(1+exp(lo))
#' lines(X, p)
#' abline(h=0:1, lty=2, col="#888888")
#'
"prrace08"