tidiers_decomposed_ts: Tidying methods for decomposed time series

In business-science/sweep: Tidy Tools for Forecasting

Tidying methods for decomposed time series

Description

Tidying methods for decomposed time series

Usage

## S3 method for class 'decomposed.ts'
sw_tidy_decomp(x, timetk_idx = FALSE, rename_index = "index", ...)

Arguments

x	An object of class "decomposed.ts"
timetk_idx	Used with sw_augment and sw_tidy_decomp. When TRUE, uses a timetk index (irregular, typically date or datetime) if present.
rename_index	Used with sw_augment and sw_tidy_decomp. A string representing the name of the index generated.
...	Not used.

Value

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

See Also

decompose()

Examples

library(dplyr)
library(forecast)

fit_decomposed <- USAccDeaths %>%
    decompose()

sw_tidy_decomp(fit_decomposed)

business-science/sweep documentation built on Feb. 2, 2024, 2:49 a.m.