R/data-friday.R

In OpenIntroStat/openintro: Datasets and Supplemental Functions from 'OpenIntro' Textbooks and Labs

#' Friday the 13th
#'
#' This dataset addresses issues of how superstitions regarding Friday the
#' 13th affect human behavior, and whether Friday the 13th is an unlucky day.
#' Scanlon, et al. collected data on traffic and shopping patterns and accident
#' frequency for Fridays the 6th and 13th between October of 1989 and November
#' of 1992.
#'
#' There are three types of observations: traffic, shopping, and accident. For
#' traffic, the researchers obtained information from the British Department of
#' Transport regarding the traffic flows between junctions 7 to 8 and junctions
#' 9 to 10 of the M25 motorway. For shopping, they collected the numbers of
#' shoppers in nine different supermarkets in southeast England. For accidents,
#' they collected numbers of emergency admissions to hospitals due to transport
#' accidents.
#'
#'
#' @name friday
#' @docType data
#' @format A data frame with 61 observations and 6 variables.
#' \describe{
#'   \item{type}{Type of observation, \code{traffic}, \code{shopping}, or \code{accident}.}
#'   \item{date}{Year and month of observation.}
#'   \item{sixth}{Counts on the 6th of the month.}
#'   \item{thirteenth}{Counts on the 13th of the month.}
#'   \item{diff}{Difference between the sixth and the thirteenth.}
#'   \item{location}{Location where data is collected.}
#' }
#' @source Scanlon, T.J., Luben, R.N., Scanlon, F.L., Singleton, N. (1993), "Is
#' Friday the 13th Bad For Your Health?," BMJ, 307, 1584-1586.
#' \url{https://dasl.datadescription.com/datafile/friday-the-13th-traffic} and
#' \url{https://dasl.datadescription.com/datafile/friday-the-13th-accidents}.
#' @keywords datasets
#' @examples
#'
#' library(dplyr)
#' library(ggplot2)
#'
#' friday |>
#'   filter(type == "traffic") |>
#'   ggplot(aes(x = sixth)) +
#'   geom_histogram(binwidth = 2000) +
#'   xlim(110000, 140000)
#'
#' friday |>
#'   filter(type == "traffic") |>
#'   ggplot(aes(x = thirteenth)) +
#'   geom_histogram(binwidth = 2000) +
#'   xlim(110000, 140000)
"friday"