R/data.R

In DSAM: Data Splitting Algorithms for Model Developments

#' @title Small test dataset
#' @description  A small dataset containing the rainfall and runoff time series using for
#' testing data splitting algorithms

#' @format A data frame with 200 rows and 5 variables
#'  \describe{
#'   \item{Idex}{Data subscript that marks the position of each data point}
#'   \item{I}{input vectors}
#'   \item{I.1}{input vectors}
#'   \item{I.2}{input vectors}
#'   \item{O}{The output vector, usually the runoff}
#'   ...
#' }
"DSAM_test_smallData"


#' @title Moderate test dataset
#' @description  A moderate dataset containing the rainfall and runoff time series using for
#' testing data splitting algorithms
#'
#' @format A data frame with 1000 rows and 5 variables
#' \describe{
#'   \item{Idex}{Data subscript that marks the position of each data point}
#'   \item{I}{input vectors}
#'   \item{I.1}{input vectors}
#'   \item{I.2}{input vectors}
#'   \item{O}{The output vector, usually the runoff}
#'   ...
#' }
"DSAM_test_modData"


#' @title large test dataset
#' @description  A large dataset containing the rainfall and runoff time series using for
#' testing data splitting algorithms
#'
#' @format A data frame with 3650 rows and 5 variables
#' \describe{
#'   \item{Idex}{Data subscript that marks the position of each data point}
#'   \item{I}{input vectors}
#'   \item{I.1}{input vectors}
#'   \item{I.2}{input vectors}
#'   \item{O}{The output vector, usually the runoff}
#'   ...
#' }
"DSAM_test_largeData"