R/RacketSports.R

In mlmts: Machine Learning Algorithms for Multivariate Time Series

#'
#' @title RacketSports
#' @description Multivariate time series (MTS) collected from university students playing badminton or squash while wearing a
#' smartwatch. The watch recorded the x, y, z coordinates for both a gyroscope and an accelerometer to an android phone.
#' @usage data(RacketSports)
#' @format A \code{list} with two elements, which are:
#' \describe{
#' \item{\code{data}}{A list with 303 MTS.}
#' \item{\code{classes}}{A numeric vector indicating the corresponding classes associated with the elements in \code{data}.}
#' }
#' @details Each element in \code{data} is a matrix formed by 30 rows (time points) indicating time recordings over an interval of 3 seconds
#' and 6 columns (variables) indicating gyroscope or accelerometer and the corresponding coordinate. The first 151 elements correspond to the
#' training set, whereas the last 152 elements correspond to the test set. The numeric vector \code{classes} is formed by integers from 1 to 4,
#' indicating that there are 4 different classes in the database. Each class is associated with a sport and stroke a particular player is making.
#' For more information, see \insertCite{bagnall2018uea;textual}{mlmts}.
#' @references{
#'
#'   \insertRef{bagnall2018uea}{mlmts}
#'
#'   \insertRef{ruiz2021great}{mlmts}
#'
#'   \insertRef{bagnallweb}{mlmts}
#'
#' }
"RacketSports"