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#' Tidying methods for decomposed time series
#'
#'
#' @param x An object of class "decomposed.ts"
#' @param rename_index Used with `sw_augment` and `sw_tidy_decomp`.
#' A string representing the name of the index generated.
#' @param timetk_idx Used with `sw_augment` and `sw_tidy_decomp`.
#' When `TRUE`, uses a timetk index (irregular, typically date or datetime) if present.
#' @param ... Not used.
#'
#'
#' @seealso [decompose()]
#'
#' @examples
#' library(dplyr)
#' library(forecast)
#' library(sweep)
#'
#' fit_decomposed <- USAccDeaths %>%
#' decompose()
#'
#' sw_tidy_decomp(fit_decomposed)
#'
#' @name tidiers_decomposed_ts
NULL
#' @rdname tidiers_decomposed_ts
#'
#' @return
#' __`sw_tidy_decomp()`__ returns a tibble with the following time series attributes:
#' * `index`: An index is either attempted to be extracted from the model or
#' a sequential index is created for plotting purposes
#' * `season`: The seasonal component
#' * `trend`: The trend component
#' * `random`: The error component
#' * `seasadj`: observed - season
#'
#' @export
sw_tidy_decomp.decomposed.ts <- function(x, timetk_idx = FALSE, rename_index = "index", ...) {
# Check timetk_idx
if (timetk_idx) {
if (!has_timetk_idx(x$x)) {
warning("Object has no timetk index. Using default index.")
timetk_idx = FALSE
}
}
ret <- cbind(observed = x$x,
season = x$seasonal,
trend = x$trend,
random = x$random,
seasadj = forecast::seasadj(x))
# Coerce to tibble
ret <- tk_tbl(ret, preserve_index = TRUE, rename_index, silent = TRUE)
# Apply timetk index if selected
if (timetk_idx) {
idx <- tk_index(x$x, timetk_idx = TRUE)
if (nrow(ret) != length(idx)) ret <- ret[(nrow(ret) - length(idx) + 1):nrow(ret),]
ret[, rename_index] <- idx
}
# Index using sw_augment_columns() with data = NULL
ret <- sw_augment_columns(ret, data = NULL, rename_index = rename_index, timetk_idx = timetk_idx)
return(ret)
}
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