stat340: Data and functions for BIAS at NMBU

#' LifeExp: Health Observations in 21 Countries
#'
#' The life expectancy reported in 2015 and observations related to health were
#' collected for approximately 200 countries. The 21 countries in this data set
#' were randomly selected and are from Africa, Europe, Asia, South America, and
#' Oceania.
#'
#' @format A data frame with 21 observations (rows) and 9 variables (columns).
#'
#' \tabular{llllr}{
#'   \tab \bold{Column name} \tab \bold{Data type} \tab \bold{Description} \tab \bold{Values}\cr
#'   \code{[,1]} \tab \code{country} \tab factor \tab 21 countries from 5 continents \tab (Argentina...Zambia)\cr
#'   \code{[,2]} \tab \code{pop} \tab integer \tab Population in thousands in 2015 \tab (179 - 229965)\cr
#'   \code{[,3]} \tab \code{growth} \tab numeric \tab The annual growth rate in % (2005-2015) \tab (-0.6 - 8.7)\cr
#'   \code{[,4]} \tab \code{fert06} \tab numeric \tab The total fertility rate in 2006 \tab (1.2 - 7.5)\cr
#'   \code{[,5]} \tab \code{fert15} \tab numeric \tab The total fertility rate in 2015 \tab (1.4 - 7.1)\cr
#'   \code{[,6]} \tab \code{lifeexp} \tab integer \tab The life expectancy in years \tab (48 - 82)\cr
#'   \code{[,7]} \tab \code{health} \tab integer \tab Per capita total expenditure on health \tab (21 - 6988)\cr
#'   \code{[,8]} \tab \code{water} \tab integer \tab Percent using improved drinking-water sources \tab (47 - 100)\cr
#'   \code{[,9]} \tab \code{alcohol} \tab numeric \tab Alcohol consumption \tab (0.05 - 16.2)
#' }
#'
#' \itemize{
#'   \item The per capita total expenditure on health, \code{health}, is the
#'   average exchange rate (US$) in 2014.
#'   \item \code{water} is the percentage of the population that used improved
#'   drinking-water sources in 2014.
#'   \item The data in \code{alcohol} is from 2011 and gives the alcohol
#'   consumption in litres per person among adults aged 15 years.
#' }
#'
#' @examples
#'
#' # A short summary of the variables
#' summary(LifeExp)
#'
#' # Scatterplot matrix with all variables
#' pairs(LifeExp)
#'
#' @docType data
#' @keywords datasets
#' @name LifeExp
#' @usage LifeExp
#'
"LifeExp"