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## This file was created automatically, do not edit by hand.
#' Statistical values over a field
#'
#' This module computes statistical values of all input fields. A field is a horizontal layer of a data variable. Depending on the chosen operator, the minimum, maximum, range, sum, integral, average, standard deviation, variance, skewness, kurtosis, median or a certain percentile of the field is written to outfile.
#'
#' @details
#' fldmin Field minimum
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = min\{i(t,x'), x_1<x'<=x_n\}
#' fldmax Field maximum
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = max\{i(t,x'), x_1<x'<=x_n\}
#' fldrange Field range
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = range\{i(t,x'), x_1<x'<=x_n\}
#' fldsum Field sum
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = sum\{i(t,x'), x_1<x'<=x_n\}
#' fldint Field integral
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = sum\{i(t,x')*cellarea(x'), x_1<x'<=x_n\}
#' fldmean Field mean
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = mean\{i(t,x'), x_1<x'<=x_n\}
#' weighted by area weights obtained by the input field.
#' fldavg Field average
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = avg\{i(t,x'), x_1<x'<=x_n\}
#' weighted by area weights obtained by the input field.
#' fldstd Field standard deviation
#' Normalize by n. For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = std\{i(t,x'), x_1<x'<=x_n\}
#' weighted by area weights obtained by the input field.
#' fldstd1 Field standard deviation (n-1)
#' Normalize by (n-1). For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = std1\{i(t,x'), x_1<x'<=x_n\}
#' weighted by area weights obtained by the input field.
#' fldvar Field variance
#' Normalize by n. For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = var\{i(t,x'), x_1<x'<=x_n\}
#' weighted by area weights obtained by the input field.
#' fldvar1 Field variance (n-1)
#' Normalize by (n-1). For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = var1\{i(t,x'), x_1<x'<=x_n\}
#' weighted by area weights obtained by the input field.
#' fldskew Field skewness
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = skew\{i(t,x'), x_1<x'<=x_n\}
#' fldkurt Field kurtosis
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = kurt\{i(t,x'), x_1<x'<=x_n\}
#' fldmedian Field median
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = median\{i(t,x'), x_1<x'<=x_n\}
#' fldcount Field count
#' Number of non-missing values of the field.
#' fldpctl Field percentiles
#' For every gridpoint x_1, ..., x_n of the same field it is:
#'
#' o(t,1) = pth percentile \{i(t,x'), x_1<x'<=x_n\}
#'
#'
#'
#'
#' @returns
#' Operators that output one or more files return a character vector to the
#' output files.
#'
#' Operators that output an indefinite number of files return a string with the
#' basename of the files.
#'
#' Operatos that don't return filenames return a character vector with the
#' string output.
#' @name fldstat
NULL
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