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# .....
# HSAF
# .....
#' High Spectral Anomaly Frequency (HSAF)
#'
#' Compute High Spectral Anomaly Frequency (HSAF) 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 HSAF values only for the given year in this argument.
#' If argument is omitted, HSAF values for all years are calculated.
#' @return Data frame containing two Columns:
#' \tabular{ll}{
#' \code{year} \tab First column, represents year \cr
#' \code{HSAF} \tab Second column, represents HSAF 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)
#'
#' # HSAF
#' hsaf = getHSAF(x.bl$resid.sig, x.streamflow$data$year)
#'
#' @export
getHSAF = function(resid, years, for.year = NULL) {
# validate inputs
assert.for.year(for.year)
assert.equal.length(resid, years)
if (is.null(for.year)) {
resid.values = resid
resid.years = years
} else {
indices.years = which(years == for.year)
resid.values = resid[indices.years]
resid.years = years[indices.years]
}
unique.years = unique(resid.years)
hsaf.year = c()
hsaf.value = c()
for (iyear in unique.years) {
# extract residual values
resid.values.thisyear = resid.values[which(resid.years == iyear)]
hsaf.rle = rle(resid.values.thisyear > 0)
hsaf.value = c(hsaf.value, length(which(hsaf.rle$values == TRUE)))
hsaf.year = c(hsaf.year, iyear)
}
hsaf.data = data.frame(hsaf.year, hsaf.value)
colnames(hsaf.data) = c("year", "HSAF")
return(hsaf.data)
}
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