R/ais.R

In quokar: Quantile Regression Outlier Diagnostics with K Left Out Analysis

#' @name ais
#' @title Australia Institute of Sport data
#' @docType data
#' @description Data on 102 male and 100 female athletes collected at the Austrialian
#' Institute of Sports
#' @format A data frame with 202 observations on the following 14 variables
#' \describe{
#' \item{Sex}{0 = male, 1 = female}
#' \item{Ht}{height(cm)}
#' \item{Wt}{weight{kg}}
#' \item{LBM}{lean body mass}
#' \item{RCC}{red cell count}
#' \item{WCC}{white cell count}
#' \item{Hc}{Hematocrit}
#' \item{Hg}{Hemoglobin}
#' \item{Ferr}{plasma ferritin concentration}
#' \item{BMI}{body mass index, weight/(height)^2}
#' \item{SSF}{sum of skin folds}
#' \item{Bfat}{Percent body fat}
#' \item{Label}{Case Lables}
#' \item{Sport}{Sport}
#' }
#' @references S.Weisberg(2005). Applied Linear Regression, 3rd edition. New York,
#' Section 6.4.
#' @keywords dataset
#'
NULL