R/StandWalkJump.R

In mlmts: Machine Learning Algorithms for Multivariate Time Series

#'
#' @title StandWalkJump
#' @description Multivariate time series (MTS) involving short duration ECG signals recorded from a healthy 25-year-old male performing different
#' physical activities
#' @usage data(StandWalkJump)
#' @format A \code{list} with two elements, which are:
#' \describe{
#' \item{\code{data}}{A list with 27 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 2500 rows (time points) indicating readings in a spectrogram and 4 columns
#' (variables) indicating frequency band from the spectrogram. The first 12 elements correspond to the training set, whereas the last 15 elements
#' correspond to the test set. The numeric vector \code{classes} is formed by integers from 1 to 3, indicating that there are 3
#' different classes in the database. Each class is associated with the label 'standing', 'walking' or 'jumping'.
#' For more information, see \insertCite{bagnall2018uea;textual}{mlmts}.
#' @references{
#'
#'   \insertRef{bagnall2018uea}{mlmts}
#'
#'   \insertRef{ruiz2021great}{mlmts}
#'
#'   \insertRef{bagnallweb}{mlmts}
#'
#' }
"StandWalkJump"