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# ....
# NAA
# ....
#' Net Annual Anomaly (NAA)
#'
#' Calculate Net Annual Anomaly (NAA) from the given residual values.
#'
#' @param resid A vector of residual values generated with respect to the baseline signal
#' @param years A vector of years corrosponding to the residual values
#' @param for.year (optional) Calculate NAA values only for the given year in this argument.
#' If argument is omitted, NAA values for all years are calculated.
#' @return Data frame containing two columns:
#' \tabular{ll}{
#' \code{year} \tab First column, represents year \cr
#' \code{NAA} \tab Second column, represents NAA values
#' }
#'
#' @examples
#' # load sample data
#' data("sycamore")
#' x = sycamore
#'
#' # get streamflow object for the sample data
#' x.streamflow = asStreamflow(x)
#'
#' # prepare baseline signal
#' x.bl = prepareBaseline(x.streamflow)
#'
#' # NAA
#' naa = getNAA(x.bl$resid.sig, x.streamflow$data$year)
#'
#' @export
getNAA = function(resid, years, for.year = NULL) {
# check inputs
assert.for.year(for.year)
assert.equal.length(resid, years)
# Extract residual values and columns from the given series
if (is.null(for.year)) {
resid.values = resid
resid.years = years
} else {
indices.years = which(years == for.year)
resid.values = resid[indices.years]
resid.years = years[indices.years]
}
unique.years = unique(resid.years)
naa.year = c()
naa.value = c()
for (iyear in unique.years) {
# extract residual values
resid.values.thisyear = resid.values[which(resid.years == iyear)]
naa.year = c(naa.year, iyear)
naa.value = c(naa.value, sum(resid.values.thisyear, na.rm = TRUE))
}
naa.data = data.frame(naa.year, naa.value)
colnames(naa.data) = c("year", "NAA")
return(naa.data)
}
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