R/rd-DST.R

In stevedata: Steve's Toy Data for Teaching About a Variety of Methodological, Social, and Political Topics

#' @importFrom tibble tibble
NULL

#' Casualties/Fatalities in the U.S. for Drunk-Driving, Suicide, and Terrorism
#'
#' These are fatalities (and, in the case of terrorism, casualties as well) for
#'  drunk-driving, suicide, and acts of terrorism in the U.S. spanning 1970 to 2018.
#'  Only one of these is sufficiently important to command public attention despite
#'  being the least severe public bad. Do you want to guess which one?
#'
#' @format A data frame with 49 observations on the following 5 variables.
#' \describe{
#' \item{\code{year}}{the year}
#' \item{\code{nkill}}{a numeric vector for the number killed in acts of terrorism}
#' \item{\code{terrtotal}}{a numeric vector for the number killed or wounded in acts of terrorism}
#' \item{\code{suicides}}{a numeric vector for the number of suicides}
#' \item{\code{ddfat}}{a numeric vector for the number of drunk-driving fatalities}
#' }
#'
#' @details Following my own work in \emph{Political Research Quarterly}, terror
#' incidents with unknown fatalities or number wounded were imputed to be 1.
#' In those cases, the GTD has reason to believe at least one person died or was
#' wounded, but doesn't know how many. GTD is weird about 1993, so perhaps treat
#' those observations with some care (though it does well to capture the WTC
#' bombing that year). Suicides include only those who passed, not those who
#' survived a suicide attempt. Drunk-driving fatalities seem to include those
#' who were killed in a drunk-driving accident despite not being drunk themselves.
#'
#' @source Global Terrorism Database (Sept. 2019 update), Centers for Disease Control,
#' U.S. Department of Transportation
#'
"DST"