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sweep (version 0.2.5)

tidiers_stl: Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series

Description

Tidying methods for STL (Seasonal, Trend, Level) decomposition of time series

Usage

# S3 method for stl
sw_tidy(x, ...)
# S3 method for stl
sw_tidy_decomp(x, timetk_idx = FALSE, rename_index = "index", ...)
# S3 method for stlm
sw_tidy_decomp(x, timetk_idx = FALSE, rename_index = "index", ...)
# S3 method for stlm
sw_glance(x, ...)
# S3 method for stlm
sw_augment(x, data = NULL, rename_index = "index", timetk_idx = FALSE, ...)

Value

sw_tidy() wraps sw_tidy_decomp()

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

  • remainder: observed - (season + trend)

  • seasadj: observed - season (or trend + remainder)

sw_glance() returns the underlying ETS or ARIMA model's sw_glance() results one row with the columns

  • model.desc: A description of the model including the three integer components (p, d, q) are the AR order, the degree of differencing, and the MA order.

  • sigma: The square root of the estimated residual variance

  • logLik: The data's log-likelihood under the model

  • AIC: The Akaike Information Criterion

  • BIC: The Bayesian Information Criterion

  • ME: Mean error

  • RMSE: Root mean squared error

  • MAE: Mean absolute error

  • MPE: Mean percentage error

  • MAPE: Mean absolute percentage error

  • MASE: Mean absolute scaled error

  • ACF1: Autocorrelation of errors at lag 1

sw_augment() 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

  • .actual: The original time series

  • .fitted: The fitted values from the model

  • .resid: The residual values from the model

Arguments

x

An object of class "stl"

...

Not used.

timetk_idx

Used with sw_tidy_decomp. When TRUE, uses a timetk index (irregular, typically date or datetime) if present.

rename_index

Used with sw_tidy_decomp. A string representing the name of the index generated.

data

Used with sw_augment only.

See Also

stl()

Examples

Run this code
library(dplyr)
library(forecast)
library(sweep)

fit_stl <- USAccDeaths %>%
    stl(s.window = "periodic")

sw_tidy_decomp(fit_stl)

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