#' @title Process module: Boostrap
#'
#' @description Process module to generate random bootstraps of the
#' data.
#'
#' @param .data \strong{Internal parameter, do not use in the workflow
#' function}. \code{.data} is a list of a data frame and a raster object
#' returned from occurrence modules and covariate modules respectively.
#' \code{.data} is passed automatically in workflow from the occurrence and
#' covariate modules to the process module(s) and should not be passed by the
#' user.
#'
#' @param n the number of points to sample. Defaults to the same number as the dataset
#'
#' @param seed Numeric used with \code{\link[base]{set.seed}}
#'
#' @author ZOON Developers, \email{zoonproject@@gmail.com}
#' @section Version: 1.0
#' @section Date submitted: 2016-03-23
#' @section Data type: presence-only, presence/absence, abundance, proportion
#'
#' @name Bootstrap
#' @family process
Bootstrap <- function (.data, n = NULL, seed = NULL) {
# set seed if specified
if(!is.null(seed)){
if(inherits(x = seed, what = c('numeric', 'integer'))){
set.seed(seed)
} else {
stop("'seed' must be numeric or NULL")
}
}
if(is.null(n)){
n <- NROW(.data$df)
}
whichData <- sample(seq_len(NROW(.data$df)), n, replace = TRUE)
df <- .data$df[whichData, ]
return(list(df = df, ras = .data$ras))
}
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