R/data-weight.R

In mladenjovanovic/bmbstats: Bootstrap Magnitude-Based Statistics

#' Weight data
#'
#' Example data to demonstrate measurement error concept. Data consists of
#'     20 athletes with their \emph{True Score (TS)} bodyweight (kg) and five
#'     \emph{Observation Scores (OS)} measured over 5 occasions using measuring
#'     scale with \emph{fixed bias}, \emph{proportional bias}, and \emph{random error}.
#'     The mathematical notation is the following:
#'     \deqn{OS = Fixed\; Bias + (Proportional \; Bias\times TS) + \epsilon}
#'     The following relationship between TS and OS is used in this data sample:
#'     \deqn{OS = 1 + (1.01 \times TS) + \mathcal{N}(0,\, 0.5)}
#'
#'     True Score has the \code{mean} of 75kg and \code{sd} of 10
#'
#' @format A data frame with 20 rows and 7 variables:
#' \describe{
#'   \item{Athlete}{Name of the athlete}
#'   \item{TS}{True score}
#'   \item{OS 1}{Observed score 1}
#'   \item{OS 2}{Observed score 2}
#'   \item{OS 3}{Observed score 3}
#'   \item{OS 4}{Observed score 4}
#'   \item{OS 5}{Observed score 5}
#' }
#' @usage data(weight_data)
"weight_data"