#' @include precintcon.stat.analysis.r
NULL
#' @name stat
#' @author Lucas Venezian Povoa \email{lucasvenez@@gmail.com}
#' @aliases precintcon.stat.analysis stat
#' @title Basic statistics for precipitation datasets.
#' @description Perform the calculation of basic statistics of precipitation datasets.
#' @usage stat(\dots)
#' @param \dots a set of daily or monthly precipitation serie.
#' @return A data.frame (precintcon.stat) containing the following variables:
#' \itemize{
#' \item \code{dataset} is the precipitation serie name.
#' \item \code{mean.daily} is the daily average precipitation.
#' It exists only for daily datasets.
#' \item \code{sd.daily} is the standard deviation of a daily precipitation serie.
#' It exists only for daily datasets.
#' \item \code{var.daily} is the variance of a daily precipitation serie.
#' It exists only for daily datasets.
#' \item \code{mean.monthly} is the monthly average precipitation.
#' \item \code{sd.monthly} is the standard deviation of a monthly precipitation serie.
#' \item \code{var.monthly} is the variance of a monthly precipitation serie.
#' \item \code{total} is the total precipitation.
#' }
#' @examples
#' ##
#' # Loading the monthly precipitation serie.
#' data(monthly)
#'
#' ##
#' # Plotting the deciles.
#' stat(monthly)
#' @keywords summary precipitation
#' @export
stat <- function(...) precintcon.stat.analysis(..., args = as.character(match.call()[1:length(list(...))+1]))
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