R/FaceAll.R

#' @title Face data set
#'
#' @description FaceAll was generated at UCR by Xiaopeng Xi. The faces belong to 14 grad students. Each facial outline is mapped onto a one dimensional series.
#' @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 ``FaceAll'' curves with 14 classes (14 grad students().}
#' \item{\code{sample}:}{Factor variable. In TSC database, the first 560 values (\code{sample=train}) are used for training sample and the rest of 1690 (\code{sample=test}) for testing.}
#' }
#' \item{\code{x}:}{ \code{fdata} class object with with n=2250 curves (per row) in 131 discretization points (per column).}
#' }
#'   
#' }
#' 
#' @docType data
#' @keywords datasets
#' @name FaceAll
#' @usage data(FaceAll)
#' @source \url{http://timeseriesclassification.com/description.php?Dataset=FaceAll}
#' 
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moviedo5/fda.tsc documentation built on May 16, 2019, 12:10 a.m.