seasonal: Extract components from a time series decomposition

In forecast: Forecasting Functions for Time Series and Linear Models

Extract components from a time series decomposition

Description

Returns a univariate time series equal to either a seasonal component, trend-cycle component or remainder component from a time series decomposition.

Usage

seasonal(object)

trendcycle(object)

remainder(object)

Arguments

object

Object created by stats::decompose(), stats::stl() or tbats().

Value

Univariate time series.

Author(s)

Rob J Hyndman

See Also

stats::stl(), stats::decompose(), tbats(), seasadj().

Examples

plot(USAccDeaths)
fit <- stl(USAccDeaths, s.window = "periodic")
lines(trendcycle(fit), col = "red")

library(ggplot2)
autoplot(
  cbind(
    Data = USAccDeaths,
    Seasonal = seasonal(fit),
    Trend = trendcycle(fit),
    Remainder = remainder(fit)
  ),
  facets = TRUE
) +
  labs(x = "Year", y = "")

forecast documentation built on March 18, 2026, 9:07 a.m.