R/data.R

In danielalcaide/mclean: Multilevel Clustering Exploration As Network

#' Synthetic Control Chart Time Series Data Set
#'
#'This dataset contains 600 examples of control charts synthetically generated by the process in Alcock and Manolopoulos (1999). There are six different classes of control charts:
#'
#' \itemize{
#'   \item Normal
#'   \item Cyclic
#'   \item Increasing trend
#'   \item Decreasing trend
#'   \item Upward shift
#'   \item Downward shift
#' }
#' @source Statistics Canada. Table 001-0008 - Production and farm value of
#'  maple products, annual. \url{http://archive.ics.uci.edu/ml/datasets/synthetic+control+chart+time+series}
#' @format A data frame with 600 rows, 60 columns, with a single chart per line. The classes are organized as follows:
#' \itemize{
#' \item 1-100 Normal
#' \item 101-200 Cyclic
#' \item 201-300 Increasing trend
#' \item 301-400 Decreasing trend
#' \item 401-500 Upward shift
#' \item 501-600 Downward shift
#' }
#'
#' @docType data
#' @keywords datasets
#' @examples
#' \dontrun{
#'  synthetic
#' }
"synthetic"

#' Distance Matrix for Synthetic Control Chart Time Series Data Set
#'
#' Distance Matrix for Synthetic Control Chart Time Series Data Set. We used Dynamic Time Warping (DTW) for measuring similarity between the temporal sequences.
#' @format dist object
#' @keywords distance matrix
#' @examples
#' \dontrun{
#'  synthetic_distances
#' }
"synthetic_distances"