Decomposition plots — autoplot.dcmp

Produces a faceted plot of the components used to build the response variable of the dable. Useful for visualising how the components contribute in a decomposition or model.

# S3 method for class 'dcmp_ts'
autoplot(object, .vars = NULL, scale_bars = TRUE, level = c(80, 95), ...)

Arguments

object: A dable.
.vars: The column of the dable used to plot. By default, this will be the response variable of the decomposition.
scale_bars: If TRUE, each facet will include a scale bar which represents the same units across each facet.
level: If the decomposition contains distributions, which levels should be used to display intervals?
...: Further arguments passed to ggplot2::geom_line(), which can be used to specify fixed aesthetics such as colour = "red" or size = 3.

Value

A ggplot object showing a set of time plots of the decomposition.

Examples

library(feasts)
#> Loading required package: fabletools
#> 
#> Attaching package: ‘feasts’
#> The following objects are masked from ‘package:ggtime’:
#> 
#>     gg_arma, gg_irf, gg_lag, gg_season, gg_subseries, gg_tsdisplay,
#>     gg_tsresiduals
tsibbledata::aus_production %>%
  model(STL(Beer)) %>%
  components() %>%
  autoplot()