R/ECG200.R

In moviedo5/fda.tsc: Functional Data Sets for Time Series Classification

#' @title ECG 200 dataset
#'
#' @description Each series traces the electrical activity recorded during one heartbeat. The two classes are a normal heartbeat and a Myocardial Infarction.
#' @details This dataset was formatted by R. Olszewski as part of his thesis "Generalized feature extraction for structural	pattern recognition in time-series data" at Carnegie Mellon University, 2001.
#' @format 
#' \describe{
#' The variables are as follows:
#' \itemize{
#' \item{\code{df}:}{ \code{data.frame} with the following variables:}
#' \itemize{
#' \item{\code{class}:}{ Corresponding class level of ``CinCECGtorso'' curves with 2 classes.}
#' \item{\code{sample}:}{Factor variable. In TSC database, the first 100 values (\code{sample=train}) are used for training sample and the rest of 100 (\code{sample=test}) for testing.}
#' }
#' \item{\code{x}:}{ \code{fdata} class object with with n=200 curves (per row) in 96 discretization points (per column).}
#' }
#'   
#' }
#' 
#' @docType data
#' @keywords datasets
#' @name ECG200
#' @usage data(ECG200)
#' @source \url{http://timeseriesclassification.com/description.php?Dataset=CinCECGtorso}
#' 
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