R/sampledata.R

In NPRED: Predictor Identifier: Nonparametric Prediction

#' @title Sample data : AR9 model:  x(i)=0.3*x(i-1)-0.6*x(i-4)-0.5*x(i-9)+eps
#' @description A dataset containing 500 rows (data length) and 16 columns. The first column is response data and the rest columns are possible predictors.
#'
#' @docType data
#' @keywords datasets
#' @name data1
#' @usage data(data1)
NULL

#' @title Sample data : AR4 model:  x(i)=0.6*x(i-1)-0.4*x(i-4)+eps
#' @description A dataset containing 500 rows (data length) and 16 columns. The first column is response data and the rest columns are possible predictors.
#'
#' @docType data
#' @keywords datasets
#' @name data2
#' @usage data(data2)
NULL

#' @title Sample data : AR1 model:  x(i)=0.9*x(i-1)+0.866*eps
#' @description A dataset containing 500 rows (data length) and 16 columns. The first column is response data and the rest columns are possible predictors.
#'
#' @docType data
#' @keywords datasets
#' @name data3
#' @usage data(data3)
NULL

#' @title Sample data: Data over Sydney region
#' @description A dataset containing Rainfall (15 stations), NCEP and CSIRO (7 atmospheric variables).
#'
#' @docType data
#' @keywords datasets
#' @name Sydney
#' @usage data(Sydney)
NULL