stat340: Data and functions for BIAS at NMBU

#' NSRdata: The NSR's Education Test
#'
#' The data in this data set is from The Norwegian Centre for Science
#' Recruitment's (NSR) online “education test”. In this test youths may answer a
#' questionnaire to check their so-called cognitive types, their science
#' interest, their preferred learning methods, and their interest to various
#' science subjects.
#'
#' @format A data frame with 10 000 observations (rows) and 2 variables (columns).
#' \tabular{llllr}{
#'   \tab \bold{Column name} \tab \bold{Data type} \tab \bold{Description} \tab \bold{Values}\cr
#'   \code{[,1]} \tab \code{Science} \tab numeric \tab Average liking score \tab (1 - 6)\cr
#'   \code{[,2]} \tab \code{Age} \tab factor \tab 5 different age-groups \tab (1, 13, 16, 19, 30)
#' }
#'
#' `NSRdata` contains two variables, Science and Age. Science is an average
#' liking score (scale 1-6) to various STEM-subjects, and Age is a factor
#' indicating different age-groups:
#'
#' \tabular{rr}{
#'   \bold{ 1}: \tab 1-12 years\cr
#'   \bold{13}: \tab 13-15 years\cr
#'   \bold{16}: \tab 16-19 years\cr
#'   \bold{19}: \tab 19-29 years\cr
#'   \bold{30}: \tab 30 + years
#' }
#'
#' @details
#'
#' The education test suggests different areas within the STEM (Science,
#' Technology, Engineering and Mathematics) within which the youth may find
#' suitable work. We have an excerpt of these data.
#'
#' @examples
#'
#' # A short summary of the variables
#' summary(NSRdata)
#'
#' # The first six and the last six observations
#' head(NSRdata)
#' tail(NSRdata)
#'
#' @docType data
#' @keywords datasets
#' @name NSRdata
#' @usage NSRdata
#'
"NSRdata"