R/SyntheticData1.R

In ctsfeatures: Analyzing Categorical Time Series

#'
#' @title SyntheticData1
#' @description Synthetic dataset containing 80 CTS generated from four
#' different generating processes.
#' @usage data(SyntheticData1)
#' @format A \code{tsibble} with four columns, which are:
#' \describe{
#' \item{\code{Value}}{The categorical values of the time series in the dataset.}
#' \item{\code{Series}}{Integer values indicating the considered time series (there are 80 time series in the dataset).}
#' \item{\code{Time}}{Integer values indicating the temporal indexes of the observations.}
#' \item{\code{Class}}{Integer values indicating the class of each time series.}
#' }
#'  @details The column \code{Value} is the concatenation of 80 time series of length 600
#' taking three categorical values. Series 1-20, 21-40, 41-60 and 61-80 were generated from
#' Markov Chains with different matrices of transition probabilities (see Scenario 1 in \insertCite{lopez2023hard;textual}{ctsfeatures}).
#' Therefore, there are 4 different classes in the dataset.
#' @references{
#'
#'   \insertRef{lopez2023hard}{ctsfeatures}
#'
#' }
"SyntheticData1"