R/USArrests.R

#' Violent crime rates by US state with region.
#'
#' This data set contains statistics, in arrests per 100,000 residents for 
#' assault, murder, and rape in each of the 50 US states in 1973. Also given 
#' is the percent of the population living in urban areas and the Census 
#' Bureau-designated region
#'
#' @name USArrests
#' @docType data
#' @usage data(USArrests, package="nclSLR")
#' @return A data frame with 50 observations on 5 variables.:
#' \describe{
#' \item{Murder}{Murder arrests (per 100,000); a numeric vector.}
#' \item{Assault}{Assault arrests (per 100,000); a numeric vector.}
#' \item{UrbanPop}{Percent urban population; a numeric vector.}
#' \item{Rape}{Rape arrests (per 100,000); a numeric vector.}
#' \item{Region}{A factor with four levels indicating the Census 
#' Bureau-designated region.}}
#' @note 
#' USArrests contains the data as in McNeil's monograph. For the UrbanPop 
#' percentages, a review of the table (No. 21) in the Statistical Abstracts 1975 
#' reveals a transcription error for Maryland (and that McNeil used the same 
#' ``round to even'' rule that R's round() uses), as found by Daniel S Coven 
#' (Arizona).
#' @source World Almanac and Book of facts 1975. (Crime rates).
#' 
#' Statistical Abstracts of the United States 1975, p.20, (Urban rates), 
#' possibly available as
#' \url{https://books.google.ch/books?id=zl9qAAAAMAAJ&pg=PA20}.
#' @references 
#' McNeil, D. R. (1977) \emph{Interactive Data Analysis}. New York: Wiley.
#' @keywords datasets
#' @examples
#' data(USArrests, package="nclSLR")
#' head(USArrests)
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nclSLR documentation built on May 2, 2019, 5:17 p.m.